Publikationsliste (Stand August 2025)
2025
S.R. Schultes, Rüger, L., Niedeggen, D., Freudenthal, J., Frindte, K., Becker, M.F., Metzner, R., Pflugfelder, D., Chlubek, A., Hinz, C., van Dusschoten, D., Bauke, S.L., Bonkowski, M., Watt, M., Koller, R., Knief, C.* (2025) Photosynthate distribution determines spatial patterns in the rhizosphere microbiota of the maize root system. Nature Communications 16: 7286. https://doi.org/10.1038/s41467-025-62550-y
A. Dreier, A. Tobies, H. Kuhlmann, and L. Klingbeil, “Stone instance segmentation of rubble masonry based on laser scanning point clouds,” Measurement, vol. 242, p. 115905, 2025. doi:10.1016/j.measurement.2024.115905
[BibTeX] [PDF]
S. Yao, S. Pan, M. Bennewitz, and K. Hauser, “Safe Leaf Manipulation for Accurate Shape and Pose Estimation of Occluded Fruits,” in IEEE International Conference on Robotics and Automation (ICRA) , 2025, pp. 16795-16802. doi:10.1109/ICRA55743.2025.11128788
[BibTeX]
G. Roggiolani, B. N. Bailey, J. Behley, and C. Stachniss, “Generation of Labeled Leaf Point Cloudsfor Plants Trait Estimation,” Plant Phenomics, p. 100071, 2025. doi:10.1016/j.plaphe.2025.100071
[BibTeX] [PDF]
J. Rückin, D. Morilla-Cabello, C. Stachniss, E. Montijano, and M. Popović, “Towards Map-Agnostic Policies for Adaptive Informative Path Planning,” , vol. 10, iss. 5, pp. 5114-512, 2025. doi:10.1109/LRA.2025.3557233
[BibTeX] [PDF] [Code]
L. J. Francis, L. G. B. Geissler, N. Okole, B. Gipp, C. Stachniss, and R. Heim, “ReflectDetect: A software tool for AprilTag-guided in-flight radiometric calibration for UAV-mounted 2D snapshot multi-camera imagery,” SoftwareX, vol. 30, p. 102150, 2025. doi:10.1016/j.softx.2025.102150
[BibTeX] [PDF] [Code]
G. Roggiolani, J.Rückin, M. Popović, J. Behley, and C. Stachniss, “Unsupervised Semantic Label Generation in Agricultural Fields,” Frontiers in Robotics and AI, 2025. doi:10.3389/frobt.2025.1548143
[BibTeX] [PDF] [Video]
P. M. Blok, F. Magistri, C. Stachniss, H. Wang, J. Burridge, and W. Guo, “High-Throughput 3D Shape Completion of Potato Tubers on a Harvester,” , vol. 228, p. 109673, 2025. doi:10.1016/j.compag.2024.109673
[BibTeX] [PDF] [Code]
He X, Wang D, Baer M, Gu L, Schaaf G, Apostolakis A, Meijide A, Chen X*, Hochholdinger F*, Yu P* “Rhizosheath inhabiting Massilia are linked to heterosis in roots of maize”,
Nature communication, in press, 2025
doi:10.1016/j.compag.2024.109673
Pitz M, Baldauf JA, Piepho H-P, Yu P, Schoof H, Mason AS, Li G, Hochholdinger F, “Regulation of heterosis associated gene expression complenentation in maize hybrids.” Genome Biol, in press, 2025.
Hochholdinger F, Yu P “Genetic Basis and Domestication of Root System Architecture in Cereals”, Annu Rev Plant Biol, in press, 2025.
Dresselhaus T, Balboni M, Berg L, Dolata A, Hochholdinger F, Huang Y, Jiang G, von Korff M, Ku J-C, van der Linde K, Maika J, Mondragon CL, Raissig M, Schnittger A, Schnurbusch T, Simon R, Stahl Y, Timmermans M, Thirulogachandar V, Zhao S, Zhou Y, “How meristems shape plant architecture in cereals-Cereal Stem Cell Systems (CSCS) Consortium”, Plant Cell 37: koaf150, 2025. https://doi.org/10.1093/plcell/koaf150
Pitz M., Baldauf JA., Piepho HP., Hochholdinger F., “Nonadditive gene expression contributing to heterosis in partially heterozygous maize hybrids is predominantly regulated from heterozygous regions”, New Phytol 247: 669–683, 2025. https://doi.org/10.1111/nph.70128
Hochholdinger F., Yu P., “Molecular concepts to explain heterosis in crops”, Trends Plant Sci 30: 95-104., 2025. https://doi.org/10.1016/j.tplants.2024.07.018
Custódio V, Salas-González I, Gopaulchan D, Flis P, Amoros R, Gao YQ, Jia X, Moreno A, Carrera E, Marcon C, Hochholdinger F, Oliveira MM, Salt DE, Castrillo G, “Individual leaf microbiota tunes a genetic regulatory network to promote leaf growth”, Cell Host Microbe 33: 436-450, 2025.
https://doi.org/10.1016/j.chom.2025.02.002
Guo L, Rosignoli S, Rasmussen MW, Sureshd K, Sangiorgi G, Camerlengo F, Zeisler-Diehl VV, Schreiber L, Dockter C, Pauly M, Tuberosa R, Hochholdinger F*, Salvi S*, “The putative endo-1,4-β-D-glucanase GLU3 regulates cellulose biosynthesis in barley roots”, Plant Physiol 198: kiaf311, 2025.
https://doi.org/10.1093/plphys/kiaf311
Chu L, Shrestha V, Schäfer CC, Niedens J, Meyer GW, Darnell Z, Kling T, Dürr-Mayer T, Abramov A, Frey M, Jessen HJ, Schaaf G, Hochholdinger F, Nowak-Krol A, McSteen P, Angelovici R, Matthes MS, ”Association of the benzoxazinoid pathway with boron homeostasis in maize”, Plant Physiol, 197: kiae611., 2025. https://doi.org/10.1093/plphys/kiae611
Urzinger S, Avramova V, Frey M, Urbany C, Scheuermann D, Presterl T, Reuscher S, Ernst K, Mayer M, Marcon C, Hochholdinger F, Brajkovic S, Ordas B, Westhoff P, Ouzunova M, Schön C-C, “Embracing native diversity to enhance maximum quantum efficiency of photosystem II in maize (Zea mays L.)”, Plant Physiol 197: kiae670., 2025. https://doi.org/10.1093/plphys/kiae670
Zhao J, Chen Y, Tao Q, Schreiber L, Suresh K, Frei M, Alam MS, Li B, Zhou Y, Baer M, Hochholdinger F, Wang C, Yu P, “Enhanced CO2 coordinates the spatial recruitment of diazotrophs in rice via root development”, Plant Cell Environ,” 2025. Epub ahead of print.
https://doi.org/10.1111/pce.15259
PMID: 39526402. PubMed
Sommer ML, Zhou Y, Hochholdinger F., “Differential Cold Stress Intensities Drive Unique Morphological and Transcriptomic Changes in Zea mays Root Hairs,” BMC Genomics, in press, 2025
He X, Hochholdinger F, Chen X, Yu P., “Crop domestication and improvement reshape root trais and their associated microbiome structure and function,” Front Agri Sci Eng (FASE) 12 (1): 27-36., 2025
https://doi.org/10.15302/J-FASE-2024593
Marcon C, Win YN, Du X, Hochholdinger F., “BonnMu: a resource for functional genetics in maize (Zea mays L.)”, Cold Spring Harb Protoc, (9):pdb.top108465, 2025.
https://doi.org/10.1101/pdb.top108465
Marcon C, Brox A, Win YN, Stöcker T, Du X, Schoof H, Hochholdinger F., “Identification of transposon insertion sites in maize Mu-tagged mutants using Mu-seq,” Cold Spring Harb Protoc 2025(9):pdb.prot108586, 2025. https://doi.org/10.1101/pdb.prot108586.
Win YN, Pöschel M, Stöcker T, Du X, Klaus A, Braun BW, Lukas L, Brox A, Schoof H, Hochholdinger F, Marcon C., “Use of maize (Zea mays L.) Mutator transposon-induced mutants of the BonnMu resource for forward and reverse genetics studies,” Cold Spring Harb Protoc 2025(9):pdb.prot108587, 2025. https://doi.org/10.1101/pdb.prot108587.
2024
M. Khan and A. Djamei, “Topless corepressors as an emerging hub of plant pathogen effectors,” Molecular Plant-Microbe Interactions, 2024. doi:10.1094/MPMI-10-23-0158-FI
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M. Khan, S. Uhse, J. Bindics, B. Kogelmann, N. Nagarajan, R. Tabassum, K. D. Ingole, and A. Djamei, “Tip of the iceberg? Three novel TOPLESS-interacting effectors of the gall-inducing fungus Ustilago maydis,” New Phytologist, 2024. doi:10.1111/nph.19967
[BibTeX] [PDF]
L. Chu, V. Shrestha, C. C. Schäfer, J. Niedens, G. W. Meyer, Z. Darnell, T. Kling, T. Dürr-Mayer, A. Abramov, M. Frey, H. Jessen, G. Schaaf, F. Hochholdinger, A. Nowak-Król, P. McSteen, R. Angelovici, and M. S. Matthes, “Association of the benzoxazinoid pathway with boron homeostasis in maize,” Plant Physiology, p. kiae611, 2024. doi:10.1093/plphys/kiae611
[BibTeX] [PDF]
B. Yu, C. Zhou, Z. Wang, M. Bucher, G. Schaaf, R. J. H. Sawers, X. Chen, F. Hochholdinger, C. Zou, and P. Yu, “Maize zinc uptake is influenced by arbuscular mycorrhizal symbiosis under various soil phosphorus availabilities,” New Phytologist, vol. 243, iss. 5, pp. 1936-1950, 2024. doi:10.1111/nph.19952
[BibTeX] [PDF]
X. He, D. Wang, Y. Jiang, M. Li, M. Delgado-Baquerizo, C. McLaughlin, C. Marcon, L. Guo, M. Baer, Y. A. T. Moya, N. von Wirén, M. Deichmann, G. Schaaf, H. Piepho, Z. Yang, J. Yang, B. Yim, K. Smalla, S. Goormachtig, F. T. de Vries, H. Hüging, M. Baer, R. J. H. Sawers, J. C. Reif, F. Hochholdinger, X. Chen, and P. Yu, “Heritable microbiome variation is correlated with source environment in locally adapted maize varieties,” Nature Plants, vol. 10, iss. 4, p. 598–617, 2024. doi:10.1038/s41477-024-01654-7
[BibTeX]
D. Wang, X. He, M. Baer, K. Lami, B. Yu, A. Tassinari, S. Salvi, G. Schaaf, F. Hochholdinger, and P. Yu, “Lateral root enriched Massilia associated with plant flowering in maize,” Microbiome, vol. 12, 2024. doi:10.1186/s40168-024-01839-4
[BibTeX] [PDF]
Y. E. Mihiret, G. Schaaf, and M. Kamleitner, "Protein pyrophosphorylation by inositol phosphates: a novel post-translational modification in plants?," Frontiers in Plant Science, vol. 15, 2024. doi:10.3389/fpls.2024.1347922
[BibTeX] [PDF]
W. Amelung, N. Tang, N. Siebers, M. Aehnelt, K. Eusterhues, V. J. M. N. L. Felde, G. Guggenberger, K. Kaiser, I. Kögel-Knabner, E. Klumpp, C. Knief, J. Kruse, E. Lehndorff, R. Mikutta, S. Peth, N. Ray, A. Prechtel, T. Ritschel, S. A. Schweizer, S. K. Woche, B. Wu, and K. U. Totsche, "Architecture of soil microaggregates: Advanced methodologies to explore properties and functions," Journal of Plant Nutrition and Soil Science, vol. 187, iss. 1, pp. 17-50, 2024. doi:10.1002/jpln.202300149
[BibTeX] [PDF]
P. Gutbrod, D. Pottier, S. Shirvani, K. Gutbrod, F. Djien-Nyami, R. Emade Ngoudjede, G. Ngando-Ebongue, and P. Dörmann, "Unusual vitamin E profile in the oil of a wild African oil palm tree (Elaeis guineensis Jacq.) enhances oxidative stability of provitamin A," Frontiers in Plant Science, vol. 15, 2024. doi:10.3389/fpls.2024.1400852
[BibTeX] [PDF]
J. Yi, Y. Luo, M. Deichmann, G. Schaaf, and J. Gall, “MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies,” in British Machine Vision Conference (BMVC’24) , 2024.
[BibTeX] [PDF]
M. H. Shams Eddin and J. Gall, "Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation," Geoscientific Model Development, vol. 17, iss. 7, p. 2987–3023, 2024. doi:10.5194/gmd-17-2987-2024
[BibTeX] [PDF] [Code] [Video]
L. Stausberg, B. Jost, L. Klingbeil, and H. Kuhlmann, “A 3D Surface Reconstruction Pipeline for Plant Phenotyping,” Remote Sensing, vol. 16, iss. 24, 2024. doi:10.3390/rs16244720
[BibTeX] [PDF] [Code]
A. Dreier, B. Jost, H. Kuhlmann, and L. Klingbeil, ,” Journal of Applied Geodesy, vol. 18, iss. 1, p. 97–113, 2024. doi:10.1515/jag-2022-0029
[BibTeX] [PDF]
S. Pan, L. Jin, H. Hu, M. Popović, and M. Bennewitz, “How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) , 2024, pp. 12470-12476. doi:10.1109/ICRA57147.2024.10610617
[BibTeX] [Code] [Video]
H. Hu, S. Pan, L. Jin, M. Popović, and M. Bennewitz, Active Implicit Reconstruction Using One-Shot View Planning, 2024. doi:10.48550/arXiv.2310.00685
[BibTeX] [PDF] [Code] [Video]
C. Lenz, R. Menon, M. Schreiber, M. P. Jacob, S. Behnke, and M. Bennewitz, HortiBot: An Adaptive Multi-Arm System for Robotic Horticulture of Sweet Peppers, 2024. doi:10.48550/arXiv.2403.15306
[BibTeX] [PDF]
S. Khorshidi, M. Dawood, and M. Bennewitz, Centroidal State Estimation based on the Koopman Embedding for Dynamic Legged Locomotion, 2024. doi:10.48550/arXiv.2403.13366
[BibTeX] [PDF]
A. Vashisth, J. Rückin, F. Magistri, C. Stachniss, and M. Popović, “Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning,” ral, vol. 9, iss. 9, pp. 7747-7754, 2024. doi:10.1109/LRA.2024.3421188
[BibTeX] [Code]
J. Rückin, F. Magistri, C. Stachniss, and M. Popović, “Active Learning of Robot Vision Using Adaptive Path Planning,” in Proc.~of the IROS Workshop on Label Efficient Learning Paradigms for Autonomoy at Scale , 2024.
[BibTeX] [PDF]
E. A. Marks, J. Bömer, F. Magistri, A. Sah, J. Behley, and C. Stachniss, “BonnBeetClouds3D: A Dataset Towards Point Cloud-Based Organ-Level Phenotyping of Sugar Beet Plants Under Real Field Conditions.” 2024.
[BibTeX] [PDF]
M. Zeller, D. Casado Herraez, B. Ayan, J. Behley, M. Heidingsfeld, and C. Stachniss, “SemRaFiner: Panoptic Segmentation in Sparse and Noisy Radar Point Clouds,” ral, 2024. doi:10.1109/LRA.2024.3502058
[BibTeX] [PDF]
L. Lobefaro, M. V. R. Malladi, T. Guadagnino, and C. Stachniss, “Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild,” in iros , 2024.
[BibTeX] [PDF] [Code] [Video]
L. Wiesmann, T. Läbe, L. Nunes, J. Behley, and C. Stachniss, “Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment,” ral, vol. 9, iss. 10, pp. 9103-9110, 2024. doi:10.1109/LRA.2024.3457385
[BibTeX] [PDF]
J. Weyler, F. Magistri, E. Marks, Y. L. Chong, M. Sodano, G. Roggiolani, N. Chebrolu, C. Stachniss, and J. Behley, “PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain,” , 2024. doi:10.1109/TPAMI.2024.3419548
[BibTeX] [PDF] [Code]
Y. Wu, T. Guadagnino, L. Wiesmann, L. Klingbeil, C. Stachniss, and H. Kuhlmann, “LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters.” 2024.
[BibTeX] [PDF] [Code] [Video]
Y. Pan, X. Zhong, L. Wiesmann, T. Posewsky, J. Behley, and C. Stachniss, “PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency,” , vol. 40, pp. 4045-4064, 2024. doi:10.1109/TRO.2024.3422055
[BibTeX] [PDF] [Code]
L. Wiesmann, T. Läbe, L. Nunes, J. Behley, and C. Stachniss, “Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment,” IEEE Robotics and Automation Letters, vol. 9, iss. 10, pp. 9103-9110, 2024. doi:10.1109/LRA.2024.3457385
[BibTeX] [PDF]
J. Bömer, F. Esser, E. Marks, R. A. Rosu, S. Behnke, L. Klingbeil, H. Kuhlmann, C. Stachniss, A. -K. Mahlein, and S. Paulus, "A 3D printed plant model for accurate and reliable 3D plant phenotyping," GigaScience, vol. 13, p. giae035, 2024. doi:10.1093/gigascience/giae035
[BibTeX] [PDF]
S. Pan, L. Jin, X. Huang, C. Stachniss, M. Popović, and M. Bennewitz, Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning, 2024.
[BibTeX] [PDF]
J. Weyler, T. Läbe, J. Behley, and C. Stachniss, "Panoptic Segmentation with Partial Annotations for Agricultural Robots," ral, vol. 9, iss. 2, pp. 1660-1667, 2024. doi:10.1109/LRA.2023.3346760
[BibTeX] [PDF] [Code]
S. Gupta, T. Guadagnino, B. Mersch, I. Vizzo, and C. Stachniss, "Effectively Detecting Loop Closures using Point Cloud Density Maps," in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA) , 2024.
[BibTeX] [PDF] [Code] [Video]
F. Magistri, R. Marcuzzi, E. A. Marks, M. Sodano, J. Behley, and C. Stachniss, "Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots," in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA) , 2024.
[BibTeX] [PDF] [Code] [Video]
L. Nunes, R. Marcuzzi, B. Mersch, J. Behley, and C. Stachniss, "Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion," in Proc.~of the IEEE/CVF Conf.~on Computer Vision and Pattern Recognition (CVPR) , 2024.
[BibTeX] [PDF] [Code] [Video]
M. Sodano, F. Magistri, L. Nunes, J. Behley, and C. Stachniss, "Open-World Semantic Segmentation Including Class Similarity," in Proc.~of the IEEE/CVF Conf.~on Computer Vision and Pattern Recognition (CVPR) , 2024.
H. Storm, S. J. Seidel, L. Klingbeil, F. Ewert, H. Vereecken, W. Amelung, S. Behnke, M. Bennewitz, J. Börner, T. Döring, J. Gall, A. -K. Mahlein, C. McCool, U. Rascher, S. Wrobel, A. Schnepf, C. Stachniss, and H. Kuhlmann, "Research Priorities to Leverage Smart Digital Technologies for Sustainable Crop Production," European Journal of Agronomy, vol. 156, p. 127178, 2024. doi:10.1016/j.eja.2024.127178
[BibTeX] [PDF]
I. Hroob, B. Mersch, C. Stachniss, and M. Hanheide, "Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization," IEEE Robotics and Automation Letters (RA-L), vol. 9, iss. 4, pp. 3546-3553, 2024. doi:10.1109/LRA.2024.3368236
[BibTeX] [PDF] [Code] [Video]
M. V. R. Malladi, T. Guadagnino, L. Lobefaro, M. Mattamala, H. Griess, J. Schweier, N. Chebrolu, M. Fallon, J. Behley, and C. Stachniss, "Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots," in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA) , 2024.
[BibTeX] [PDF] [Code] [Video]
J. Rückin, F. Magistri, C. Stachniss, and M. Popović, "Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning," IEEE Robotics and Automation Letters (RA-L), vol. 9, iss. 3, pp. 2662-2669, 2024. doi:10.1109/LRA.2024.3359970
[BibTeX] [PDF] [Code]
Yu P, Li C, Li M, He X, Wang D, Li H, Marcon C, Li Y, Perez-Limón S, Chen X, Delgado-Baquerizo M, Koller R, Metzner R, van Dusschoten D, Pflugfelder D, Borisjuk L, Plutenko I, Mahon A, Resende Jr MFR, Salvio S, Akale A, Abdalla M, Ali Ahmed M, Bauer FM, Schnepf A, Lobet G, Heymans A, Suresh K, Schreiber L, McLaughlin CM, Li C, Mayer M, Schön C-C, Bernau V, von Wirén N, Sawers RJH, Wang T, Hochholdinger F., “Seedling root system adaptation to water availability during maize domestication and global expansion,” Nat Genet 56: 1245-1256, 2024. https://doi.org/10.1038/s41588-024-01761-3
PubMed Free access to view-only version of the paper
He X, Wang D, Jiang Y, Li M, Delgado-Baquerizo M, McLaughlin C, Marcon C, Guo L, Baer M, Moya YAT, von Wirén N, Deichmann M, Schaaf G, Piepho H-P, Yang Z, Yang J, Yim B, Smalla K, Goormachtig S, de Vries FT, Hüging H, Baer M, Sawers RJH*, Reif JC*, Hochholdinger F*, Chen X*, Yu P*, “Heritable microbiome variation is correlated with source environment in locally adapted maize varieties,” Nat Plants 10: 598–617, 2024. https://doi.org/10.1038/s41477-024-01654-7
Richter A, Schroeder A, Marcon C, Hochholdinger Frank, Jander G, Negin B., “Catechol acetylglucose: A newly identified benzoxazinoid-regulated defensive metabolite in maize,” New Phytol 244: 2474-2488, 2024. https://doi.org/10.1111/nph.20209
Win YN, Stöcker T, Du X, Brox A, Pitz M, Klaus A, Piepho H-P, Schoof H, Hochholdinger F, Marcon C., “Expanding the BonnMu sequence-indexed repository of transposon induced maize (Zea mays L.) mutations in dent and flint germplasm,” Plant J 120: 2253-2268, 2024. https://doi.org/10.1111/tpj.17088
Zhou Y, Sommer ML, Meyer A, Wang D, Klaus A, Stöcker T, Marcon C, Schoof H, Haberer G, Schön C-C, Yu P, Hochholdinger F., “Cold mediates maize root hair developmental plasticity via epidermis-specific transcriptomic responses,” Plant Physiol 196: 2105-2120, 2024. https://doi.org/10.1093/plphys/kiae449
Yu B, Zhou C, Wang Z, Bucher M, Schaaf G, Sawers RJH, Chen X, Hochholdinger F, Yu P., “Maize zinc uptake is influenced by arbuscular mycorrhizal symbiosis under various soil phosphorus availabilities,” New Phytol 243: 1936-1950, 2024. https://doi.org/10.1111/nph.19952
Wang D, He X, Baer M, Lami K, Yu B, Tassinari A, Salvi S, Schaaf S, Hochholdinger F, Yu P., “Lateral root enriched Massilia associated with plant flowering in maize,” Microbiome 12: 124, 2024. https://doi.org/10.1186/s40168-024-01839-4
Kirschner GK, Hochholdinger F, Salvi S, Bennett MJ, Huang G, Bhosale RA., “Genetic regulation of the root angle in cereals,” Trends Plant Sci 23: 1360-1385, 2024. https://doi.org/10.1016/j.tplants.2024.01.008
Klaus A, Marcon C, Hochholdinger F., “Spatiotemporal transcriptomic plasticity in barley roots: Unravelling water deficit responses in distinct root zones,” BMC Genomics 25: 79, 2024. https://doi.org/10.1186/s12864-024-10002-0
PubMed Free BMC Article Free PMC Article
Bohle F, Klaus A, Ingelfinger J, Tegethof H, Safari N, Schwarzländer M, Hochholdinger F, Hahn M, Meyer AJ, Acosta IF, Müller-Schüssele SJ., “Contrasting cytosolic EGSH dynamics under abiotic and biotic stress in barley as revealed by the biosensor Grx1-roGFP2,” J Exp Bot 75: 2299-2312, 2024.
https://doi.org/10.1093/jxb/erae035
Baales J, Zeisler-Diehl VV, Kreszies T, Klaus A, Hochholdinger F, Schreiber L., “Transcriptomic changes in barley leaves induced by alcohol ethoxylates indicate potential pathways of surfactant detoxification,” Sci Rep 14: 4535, 2024. https://doi.org/10.1038/s41598-024-54806-2
Hochholdinger F, Yu P, Feix G (2024) Genetic Analysis of Maize Root Development. In: Plant Roots – The Hidden Half. 5th edition, chapter 11, pp. 185-199.
2023
N. Nagarajan, M. Khan, and A. Djamei, "Manipulation of Auxin Signaling by Smut Fungi during Plant Colonization," Journal of Fungi, 2023. doi:10.3390/jof9121184
[BibTeX] [PDF]
A. Djamei, "Ustilago maydis," Current Biology, vol. 33, iss. 11, p. R458–R460, 2023.
[BibTeX]
A. Pandey, L. Wu, V. Murugaiyan, G. Schaaf, J. Ali, and M. Frei, "Differential effects of arsenite and arsenate on rice (Oryza sativa) plants differing in glutathione S-transferase gene expression," Environmental Science and Pollution Research, 2023. doi:10.1007/s11356-023-28833-x
[BibTeX] [PDF]
D. Qiu, E. Lange, T. M. Haas, I. Prucker, S. Masuda, Y. L. Wang, G. Felix, G. Schaaf, and H. J. Jessen, "Bacterial Pathogen Infection Triggers Magic Spot Nucleotide Signaling in Arabidopsis thaliana Chloroplasts through Specific RelA/SpoT Homologues," Journal of the American Chemical Society, vol. 145, iss. 29, pp. 16081-16089, 2023. doi:10.1021/jacs.3c04445
[BibTeX] [PDF]
S. Sanow, W. Kuang, G. Schaaf, P. Huesgen, U. Schurr, U. Roessner, M. Watt, and B. Arsova, "Molecular mechanisms of Pseudomonas assisted plant nitrogen uptake: opportunities for modern agriculture," Molecular Plant-Microbe Interactions, 2023. doi:10.1094/MPMI-10-22-0223-CR
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M. N. Siddiqui, K. Pandey, S. K. Bhadhury, B. Sadeqi, M. Schneider, M. Sanchez-Garcia, B. Stich, G. Schaaf, J. Léon, and A. Ballvora, "Convergently selected NPF2.12 coordinates root growth and nitrogen use efficiency in wheat and barley," New Phytologist, vol. n/a, iss. n/a, 2023. doi:10.1111/nph.18820
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X. Chen, L. Poudel, Z. Hong, P. Johnen, S. Katti, A. Tripathi, A. H. Nile, S. M. Green, D. Khan, G. Schaaf, F. Bono, V. A. Bankaitis, and T. I. Igumenova, "Mechanisms by which small molecules of diverse chemotypes arrest Sec14 lipid transfer activity," Journal of Biological Chemistry, vol. 299, iss. 2, p. 102861, 2023. doi:10.1016/j.jbc.2022.102861
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G. Lopez, S. H. Ahmadi, W. Amelung, M. Athmann, F. Ewert, T. Gaiser, M. I. Gocke, T. Kautz, J. Postma, S. Rachmilevitch, G. Schaaf, A. Schnepf, A. Stoschus, M. Watt, P. Yu, and S. J. Seidel, "Nutrient deficiency effects on root architecture and root-to-shoot ratio in arable crops," Frontiers in Plant Science, vol. 13, 2023. doi:10.3389/fpls.2022.1067498
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J. Romer, K. Gutbrod, A. Schuppener, M. Melzer, S. J. Müller-Schüssele, A. J. Meyer, and P. Dörmann, "Tocopherol and phylloquinone biosynthesis in chloroplasts requires the phytol kinase VITAMIN E PATHWAY GENE5 (VTE5) and the farnesol kinase (FOLK)," The Plant Cell, vol. 36, iss. 4, pp. 1140-1158, 2023. doi:10.1093/plcell/koad316
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Y. Müller, P. Patwari, T. Stöcker, V. Zeisler-Diehl, U. Steiner, C. Campoli, L. Grewe, M. Kuczkowska, M. M. Dierig, S. Jose, A. M. Hetherington, I. F. Acosta, H. Schoof, L. Schreiber, and P. Dörmann, "Isolation and characterization of the gene HvFAR1 encoding acyl-CoA reductase from the cer-za.227 mutant of barley (Hordeum vulgare) and analysis of the cuticular barrier functions," New Phytologist, vol. 239, iss. 5, pp. 1903-1918, 2023. doi:10.1111/nph.19063
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C. Liu, A. Mentzelopoulou, F. Papagavriil, P. Ramachandran, A. Perraki, L. Claus, S. Barg, P. Dörmann, Y. Jaillais, P. Johnen, E. Russinova, E. Gizeli, G. Schaaf, and P. N. Moschou, "SEC14-like condensate phase transitions at plasma membranes regulate root growth in Arabidopsis," PLoS biology, 2023. doi:10.1371/journal.pbio.3002305
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K. Gutbrod, J. Romer, and P. Dörmann, "Analysis of isoprenyl-phosphates by liquid chromatography-mass spectrometry," in Methods in Enzymology, Elsevier, 2023, vol. 683, p. 171–190. doi:10.1016/bs.mie.2022.08.026
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E. I. Katche, A. Schierholt, S. Schiessl, F. He, Z. Lv, J. Batley, H. C. Becker, and A. S. Mason, "Genetic factors inherited from both diploid parents interact to affect genome stability and fertility in resynthesized allotetraploid Brassica napus," G3 Genes|Genomes|Genetics, vol. 13, iss. 8, p. jkad136, 2023. doi:10.1093/g3journal/jkad136
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E. I. Katche and A. S. Mason, "Resynthesized Rapeseed (Brassica napus): Breeding and Genomics," Critical Reviews in Plant Sciences, vol. 42, iss. 2, pp. 65-92, 2023. doi:10.1080/07352689.2023.2186021
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V. Sushko, R. Wang, and J. Gall, "Smoothness Similarity Regularization for Few-Shot GAN Adaptation," in International Conference on Computer Vision (ICCV) , 2023.
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J. Leonhardt, L. Drees, J. Gall, and R. Roscher, "Leveraging Bioclimatic Context for Supervised and Self-Supervised Land Cover Classification," in DAGM German Conference on Pattern Recognition , 2023.
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J. A. Tanke, O. Kwon, F. B. Mueller, A. Doering, and J. Gall, "Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context," in Advances in Neural Information Processing Systems (NeurIPS 2023) , 2023.
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M. Giraud, S. L. Gall, M. Harings, M. Javaux, D. Leitner, F. Meunier, Y. Rothfuss, D. van Dusschoten, J. Vanderborght, H. Vereecken, G. Lobet, and A. Schnepf, "CPlantBox: a fully coupled modelling platform for the water and carbon fluxes in the soil–plant–atmosphere continuum," in silico Plants, vol. 5, iss. 2, p. diad009, 2023. doi:10.1093/insilicoplants/diad009
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J. Yi, G. Lopez, S. Hadir, J. Weyler, L. Klingbeil, M. Deichmann, J. Gall, and S. J. Seidel, "Non-Invasive Diagnosis of Nutrient Deficiencies in Winter Wheat and Winter Rye Using Uav-Based Rgb Images," Available at SSRN 4549653, 2023. doi:10.2139/ssrn.4549653
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L. Shang, J. Wang, D. Schäfer, T. Heckelei, J. Gall, F. Appel, and H. Storm, "Surrogate modelling of a detailed farm-level model using deep learning," Journal of Agricultural Economics, 2023. doi:10.1111/1477-9552.12543
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M. Cantürk, L. Zabawa, D. Pavlic, A. Dreier, L. Klingbeil, and H. Kuhlmann, "UAV-based individual plant detection and geometric parameter extraction in vineyards," Frontiers in Plant Science, vol. 14, 2023. doi:10.3389/fpls.2023.1244384
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A. Dreier, B. Jost, H. Kuhlmann, and L. Klingbeil, "Investigations of the scan characteristics with special focus on multi-target capability for the 2D laser scanner RIEGL miniVUX-2UAV," Journal of Applied Geodesy, 2023. doi:10.1515/jag-2022-0029
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A. Dreier, H. Kuhlmann, and L. Klingbeil, "Quality Investigation of UAV-Based Laser Scanning with Detailed Study of Multi-Target Capability," in Ingenieurvermessung 23, Beiträge zum 20. Internationalen Ingenieurvermessungskurs , 2023.
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F. Esser, R. A. Rosu, A. Cornelißen, L. Klingbeil, H. Kuhlmann, and S. Behnke, "Field Robot for High-Throughput and High-Resolution 3D Plant Phenotyping: Towards Efficient and Sustainable Crop Production," IEEE Robotics & Automation Magazine, pp. 2-11, 2023. doi:10.1109/MRA.2023.3321402
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B. Jost, D. Coopmann, C. Holst, and H. Kuhlmann, "Real movement or systematic errors? – TLS-based deformation analysis of a concrete wall," Journal of Applied Geodesy, vol. 17, iss. 2, p. 139–149, 2023. doi:10.1515/jag-2022-0041
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F. Esser, L. Klingbeil, L. Zabawa, and H. Kuhlmann, "Quality Analysis of a High-Precision Kinematic Laser Scanning System for the Use of Spatio-Temporal Plant and Organ-Level Phenotyping in the Field," Remote Sensing, vol. 15, iss. 4, 2023. doi:10.3390/rs15041117
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G. Tombrink, A. Dreier, L. Klingbeil, and H. Kuhlmann, "Trajectory evaluation using repeated rail-bound measurements," Journal of Applied Geodesy, 2023. doi:doi:10.1515/jag-2022-0027
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Y. Wu, J. Kuang, X. Niu, J. Behley, L. Klingbeil, and H. Kuhlmann, "Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-Mounted IMU," IEEE Robotics and Automation Letters, vol. 8, iss. 1, pp. 280-287, 2023. doi:10.1109/LRA.2022.3226071
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A. Roychoudhury, S. Khorshidi, S. Agrawal, and M. Bennewitz, "Perception for Humanoid Robots," Current Robotics Reports - Springer Nature, 2023. doi:10.1007/s43154-023-00107-x
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T. Zaenker, J. Rückin, M. Popovic, and M. Bennewitz, "Graph-based View Motion Planning for Fruit Detection," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2023.
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R. Menon, T. Zaenker, N. Dengler, and M. Bennewitz, "NBV-SC: Next Best View Planning based on Shape Completion for Fruit Mapping and Reconstruction," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2023. doi:10.48550/arXiv.2209.15376
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C. Gebauer, N. Dengler, and M. Bennewitz, "Sensor-Based Navigation Using Hierarchical Reinforcement Learning," in Intelligent Autonomous Systems 17 , Cham, 2023, p. 546–560. doi:10.1007/978-3-031-22216-0_37
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J. Rückin, F. Magistri, C. Stachniss, and M. Popović, "An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping," IEEE Transactions on Robotics, vol. 39, iss. 6, pp. 4279-4296, 2023. doi:10.1109/TRO.2023.3313811
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G. Roggiolani, F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss, "Unsupervised Pre-Training for 3D Leaf Instance Segmentation," IEEE Robotics and Automation Letters, vol. 8, iss. 11, pp. 7448-7455, 2023. doi:10.1109/LRA.2023.3320018
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J. Weyler, T. Läbe, F. Magistri, J. Behley, and C. Stachniss, "Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots," IEEE Robotics and Automation Letters, vol. 8, iss. 6, pp. 3310-3317, 2023. doi:10.1109/LRA.2023.3262417
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E. Marks, M. Sodano, F. Magistri, L. Wiesmann, D. Desai, R. Marcuzzi, J. Behley, and C. Stachniss, "High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions," IEEE Robotics and Automation Letters, pp. 1-8, 2023. doi:10.1109/LRA.2023.3288383
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Y. L. Chong, J. Weyler, P. Lottes, J. Behley, and C. Stachniss, "Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms," IEEE Robotics and Automation Letters (RA-L), 2023.
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L. Lobefaro, M. V. R. Malladi, O. Vysotska, T. Guadagnino, and C. Stachniss, "Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots," in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS) , 2023.
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Y. Pan, F. Magistri, T. Läbe, E. Marks, C. Smitt, C. S. McCool, J. Behley, and C. Stachniss, "Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots," in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS) , 2023. doi:10.48550/arXiv.2303.08923
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M. Sodano, F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss, "Robust Double-Encoder Network for RGB-D Panoptic Segmentation," in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA) , 2023. doi:10.1109/icra48891.2023.10160315
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I. Vizzo, T. Guadagnino, B. Mersch, L. Wiesmann, J. Behley, and C. Stachniss, "KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way," IEEE Robotics and Automation Letters, vol. 8, iss. 2, pp. 1-8, 2023. doi:10.1109/LRA.2023.3236571
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S. Kelly, A. Riccardi, E. Marks, F. Magistri, T. Guadagnino, M. Chli, and C. Stachniss, "Target-Aware Implicit Mapping for Agricultural Crop Inspection," in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA) , 2023. doi:10.1109/icra48891.2023.10160487
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A. Riccardi, S. Kelly, E. Marks, F. Magistri, T. Guadagnino, J. Behley, M. Bennewitz, and C. Stachniss, "Fruit Tracking Over Time Using High-Precision Point Clouds," in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA) , 2023. doi:10.1109/icra48891.2023.10161350
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G. Roggiolani, M. Sodano, F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss, "Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain," in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA) , 2023. doi:10.1109/icra48891.2023.10160918
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G. Roggiolani, F. Magistri, T. Guadagnino, G. Grisetti, C. Stachniss, and J. Behley, "On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics," in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA) , 2023. doi:10.1109/icra48891.2023.10160624
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H. Dong, X. Chen, S. Särkkä, and C. Stachniss, "Online pole segmentation on range images for long-term LiDAR localization in urban environments," Robotics and Autonomous Systems, vol. 159, p. 104283, 2023. doi:10.1016/j.robot.2022.104283
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F. Stache, J. Westheider, F. Magistri, C. Stachniss, and M. Popović, "Adaptive path planning for UAVs for multi-resolution semantic segmentation," Robotics and Autonomous Systems, vol. 159, p. 104288, 2023. doi:10.1016/j.robot.2022.104288
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M. Arora, L. Wiesmann, X. Chen, and C. Stachniss, "Static map generation from 3D LiDAR point clouds exploiting ground segmentation," Robotics and Autonomous Systems, vol. 159, pp. 104-287, 2023. doi:10.1016/j.robot.2022.104287
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L. Wiesmann, L. Nunes, J. Behley, and C. Stachniss, "KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition," IEEE Robotics and Automation Letters, vol. 8, iss. 2, pp. 592-599, 2023. doi:10.1109/LRA.2022.3228174
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Zhao M, Peng Z, Qin Y, Tamang TM, Zhang L, Tian B, Chen Y, Liu Y, Zhang J, Lin G, Zheng H, He C, Lv K, Klaus A, Marcon C, Hochholdinger F, Trick HN, Liu Y, Cho MJ, Park S, Wei H, Zheng J, White FF, Liu S., “Bacterium-Enabled Transient Gene Activation by Artificial Transcription Factors to Study Gene Regulation in Maize,” Plant Cell 35: 2736-2749, 2023. https://doi.org/10.1093/plcell/koad155
Guo L, Osthoff A, Baer M, Kirschner G, Salvi S, Hochholdinger F., “ENHANCED GRAVITROPISM 2 coordinates molecular adaptations to gravistimulation in the elongation zone of barley roots,” New Phytol 237: 2196-2209, 2023. https://doi.org/10.1111/nph.18717
Baer M, Taramino G, Multani D, Sakai, H, Jiao S, Fengler K, Hochholdinger F., “Maize lateral rootless 1 encodes a homolog of the DCAF protein subunit of the CUL4-based E3 ubiquitin ligase complex,” New Phytol 237: 1204–1214, 2023. https://doi.org/10.1111/nph.18599
Baldauf JA, Hochholdinger F., “Molecular dissection of heterosis in roots and their rhizosphere,” Theor Appl Genetics 136(173): 1-11, 2023. https://doi.org/10.1007/s00122-023-04419-6
Yu P, Hochholdinger F., “Genetic and environmental regulation of root growth and development,” Chapter 13 in: Marschner´s Mineral Nutrition of Plants. 4th edition 23: 523-543, 2023.
2022
K. D. Ingole, N. Nagarajan, S. Uhse, C. Giannini, and A. Djamei, "Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis," Frontiers in Fungal Biology, p. 65, 2022. doi:10.3389/ffunb.2022.1029114
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M. Khan and A. Djamei, "Performing Infection Assays of Sporisorium reilianum f. sp. Zeae in Maize," in Environmental Responses in Plants, , 2022, pp. 291-298. doi:10.1007/978-1-0716-2297-1_20
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J. Bindics, K. Mamoona, S. Uhse, B. Kogelmann, L. Baggely, D. Reumann, K. D. Ingole, A. Stirnberg, A. Rybecky, M. Darino, F. Navarrete, G. Dochlemann, and A. Djamei, "Many ways to TOPLESS-manipulation of plant auxin signalling by a cluster of fungal effectors," New Phytologist Foundation, 2022. doi:10.1111/nph.18315
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I. Saado, K. Chia, R. Betz, A. Alcantara, A. Pettko-Szandtner, F. Navarrete, J. C. D'Auria, M. V. Kolomiets, M. Melzer, I. Feussner, and A. Djamei, "Effector-mediated relocalization of a maize lipoxygenase protein triggers susceptibility to Ustilago maydis," The Plant Cell, pp. 1-21, 2022. doi:10.1093/plcell/koac105
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N. P. Laha, R. F. H. Giehl, E. Riemer, D. Qiu, N. J. Pullagurla, R. Schneider, Y. W. Dhir, R. Yadav, Y. E. Mihiret, P. Gaugler, V. Gaugler, H. Mao, N. Zheng, N. von Wirén, A. Saiardi, S. Bhattacharjee, H. J. Jessen, D. Laha, and G. Schaaf, "INOSITOL (1,3,4) TRIPHOSPHATE 5/6 KINASE1-dependent inositol polyphosphates regulate auxin responses in Arabidopsis," Plant Physiology, vol. 190, iss. 4, pp. 2722-2738, 2022. doi:10.1093/plphys/kiac425
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E. Riemer, N. Jyothi Pullagurla, R. Yadav, P. Rana, H. J. Jessen, M. Kamleitner, G. Schaaf, and D. Laha, "Regulation of plant biotic interactions and abiotic stress responses by inositol polyphosphates," Frontiers in Plant Science, vol. 13, pp. 1-18, 2022. doi:10.3389/fpls.2022.944515
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P. Gaugler, R. Schneider, G. Liu, D. Qiu, J. Weber, J. Schmid, N. Jork, M. Häner, K. Ritter, N. Fernández-Rebollo, R. F. H. Giehl, M. N. Trung, R. Yadav, D. Fiedler, V. Gaugler, H. J. Jessen, G. Schaaf, and D. Laha, "Arabidopsis PFA-DSP-Type Phosphohydrolases Target Specific Inositol Pyrophosphate Messengers," Biochemistry, 2022. doi:10.1021/acs.biochem.2c00145
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L. Mau, S. Junker, H. Bochmann, Y. E. Mihiret, J. M. Kelm, S. D. Schrey, U. Roessner, G. Schaaf, M. Watt, J. Kant, and B. Arsova, "Root Growth and Architecture of Wheat and Brachypodium Vary in Response to Algal Fertilizer in Soil and Solution," Agronomy, vol. 12, iss. 2, 2022. doi:10.3390/agronomy12020285
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A. S. Wendel, S. L. Bauke, W. Amelung, and C. Knief, "Root-rhizosphere-soil interactions in biopores," Plant and Soil, p. 1–25, 2022. doi:10.1007/s11104-022-05406-4
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G. Hölzl, R. B. Rezaeva, J. Kumlehn, and P. Dörmann, "Ablation of glucosinolate accumulation in the oil crop Camelina sativa by targeted mutagenesis of genes encoding the transporters GTR1 and GTR2 and regulators of biosynthesis MYB28 and MYB29," Plant Biotechnology Journal, 2022. doi:10.1111/pbi.13936
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Quezada-Martinez D., J. Zou, W. Zhang, A. S. Mason, and others, "Allele segregation analysis of F1 hybrids between independent Brassica allohexaploid lineages," Chromosoma, vol. 131, p. 147–161, 2022. doi:10.1007/s00412-022-00774-3
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E. I. Katche, A. Schierholt, H. C. Becker, J. Batley, and A. S. Mason, "Fertility, genome stability, and homozygosity in a diverse set of resynthesized rapeseed lines," The Crop Journal, 2022. doi:10.1016/j.cj.2022.07.022
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V. Sushko, D. Zhang, J. Gall, and A. Khoreva, "One-Shot Synthesis of Images and Segmentation Masks," in IEEE/CVF Winter Conference on Applications of Computer Vision , 2023, pp. 6274-6283. doi:10.1109/WACV56688.2023.00622
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S. Li, M. Cheng, and J. Gall, "Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis," in 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK , 2022, p. 285. doi:10.48550/arXiv.2210.04085
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M. Fayyaz, S. A. Koohpayegani, F. R. Jafari, S. Sengupta, H. R. V. Joze, E. Sommerlade, H. Pirsiavash, and J. Gall, "Adaptive token sampling for efficient vision transformers," in European Conference on Computer Vision , 2022, pp. 396-414. doi:10.1007/978-3-031-20083-0_24
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V. Sushko, E. Schönfeld, D. Zhang, J. Gall, B. Schiele, and A. Khoreva, "OASIS: Only Adversarial Supervision for Semantic Image Synthesis," International Journal of Computer Vision, vol. 130, iss. 12, pp. 2903-2923, 2022. doi:10.1007/s11263-022-01673-x
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A. Dreier, H. Kuhlmann, and L. Klingbeil, "The potential of UAV-based Laser Scanning for Deformation Monitoring – Case Study on a Water Dam," in Proceedings of the 5th Joint International Symposium on Deformation Monitoring (JISDM) , Valencia, Spain, 2022. doi:10.4995/JISDM2022.2022.13833
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F. Esser, J. Moraga, L. Klingbeil, and H. Kuhlmann, "Accuracy improvement of mobile laser scanning point clouds using graph-based trajectory optimization," in Proceedings of the 5th Joint International Symposium on Deformation Monitoring (JISDM) , Valencia, Spain, 2022. doi:10.4995/JISDM2022.2022.13728
L. Klingbeil, A. Dreier, F. Esser, L. Zabawa, D. Pavlic, and H. Kuhlmann, "Mobile Mapping auf dem Acker - hochaufgelöste 3D-Vermessung für nachhaltige Planzenproduktion," Allgemeine Vermessungs-Nachrichten (AVN), vol. 03/2022, pp. 96-103, 2022.
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L. Zabawa, A. Kicherer, L. Klingbeil, R. Töpfer, R. Roscher, and H. Kuhlmann, "Image-based analysis of yield parameters in viticulture," Biosystems Engineering, vol. 218, pp. 94-109, 2022. doi:10.1016/j.biosystemseng.2022.04.009
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S. Marangoz, T. Zaenker, R. Menon, and M. Bennewitz, "Fruit Mapping with Shape Completion for Autonomous Crop Monitoring," in 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) , 2022, pp. 471-476. doi:10.1109/CASE49997.2022.9926466
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X. Zeng, T. Zaenker, and M. Bennewitz, "Deep Reinforcement Learning for Next-Best-View Planning in Agricultural Applications," in Proc.~of the IEEE International Conference on Robotics & Automation (ICRA) , 2022, pp. 2323-2329. doi:10.1109/ICRA46639.2022.9811800
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W. Shi, Y. Zhou, X. Zeng, S. Li, and M. Bennewitz, "Enhanced Spatial Attention Graph for Motion Planning in Crowded, Partially Observable Environments," in 2022 International Conference on Robotics and Automation (ICRA) , 2022, pp. 4750-4756. doi:10.1109/ICRA46639.2022.9812322
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J. Rückin, L. Jin, F. Magistri, C. Stachniss, and M. Popović, "Informative Path Planning for Active Learning in Aerial Semantic Mapping," in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022, pp. 11932-11939. doi:10.1109/IROS47612.2022.9981738
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Y. Pan, Y. Kompis, L. Bartolomei, R. Mascaro, C. Stachniss, and M. Chli, "Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) , 2022. doi:10.3929/ethz-b-000560719
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X. Chen, B. Mersch, L. Nunes, R. Marcuzzi, I. Vizzo, J. Behley, and C. Stachniss, "Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation," ral, vol. 7, iss. 3, pp. 6107-6114, 2022. doi:10.1109/LRA.2022.3166544
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L. Wiesmann, T. Guadagnino, I. Vizzo, G. Grisetti, J. Behley, and C. Stachniss, "DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments," IEEE Robotics and Automation Letters, vol. 7, iss. 3, pp. 6327-6334, 2022. doi:10.1109/LRA.2022.3171068
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I. Vizzo, B. Mersch, R. Marcuzzi, L. Wiesmann, J. Behley, and C. Stachniss, "Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments," IEEE Robotics and Automation Letters, vol. 7, iss. 3, pp. 8534-8541, 2022. doi:10.1109/LRA.2022.3187255
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T. Guadagnino, X. Chen, M. Sodano, J. Behley, G. Grisetti, and C. Stachniss, "Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images," IEEE Robotics and Automation Letters, vol. 7, iss. 3, pp. 7597-7604, 2022. doi:10.1109/LRA.2022.3184454
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F. Magistri, E. Marks, S. Nagulavancha, I. Vizzo, T. Läbe, J. Behley, M. Halstead, C. McCool, and C. Stachniss, "Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames." 2022, pp. 10120-10127. doi:10.1109/LRA.2022.3193239
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S. Li, X. Chen, Y. Liu, D. Dai, C. Stachniss, and J. Gall, "Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform," IEEE Robotics and Automation Letters, vol. 7, iss. 2, pp. 738-745, 2022. doi:10.1109/LRA.2021.3132059
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I. Vizzo, T. Guadagnino, J. Behley, and C. Stachniss, "VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data," Sensors, vol. 22, iss. 3, 2022. doi:10.3390/s22031296
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L. Wiesmann, R. Marcuzzi, C. Stachniss, and J. Behley, "Retriever: Point Cloud Retrieval in Compressed 3D Maps," in 2022 International Conference on Robotics and Automation (ICRA) , 2022, pp. 10925-10932. doi:10.1109/ICRA46639.2022.9811785
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E. Marks, F. Magistri, and C. Stachniss, "Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching," in 2022 International Conference on Robotics and Automation (ICRA) , 2022, pp. 2259-2265. doi:10.1109/ICRA46639.2022.9811358
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B. Mersch, X. Chen, J. Behley, and C. Stachniss, "Self-supervised point cloud prediction using 3d spatio-temporal convolutional networks," in Conference on Robot Learning , 2022, p. 1444–1454. doi:10.48550/arXiv.2110.04076
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J. Weyler, F. Magistri, P. Seitz, J. Behley, and C. Stachniss, "In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , 2022, p. 2725–2734. doi:10.1109/wacv51458.2022.00302
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J. Weyler, J. Quakernack, P. Lottes, J. Behley, and C. Stachniss, "Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery," IEEE Robotics and Automation Letters, vol. 7, iss. 2, pp. 3787-3794, 2022. doi:10.1109/LRA.2022.3147462
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L. Nunes, R. Marcuzzi, X. Chen, J. Behley, and C. Stachniss, "SegContrast: 3D Point Cloud Feature Representation Learning through Self-supervised Segment Discrimination," IEEE Robotics and Automation Letters, 2022. doi:10.1109/LRA.2022.3142440
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R. Marcuzzi, L. Nunes, L. Wiesmann, I. Vizzo, J. Behley, and C. Stachniss, "Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR Scans," IEEE Robotics and Automation Letters, vol. 7, iss. 2, pp. 1550-1557, 2022. doi:10.1109/LRA.2022.3140439
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Fusi R, Rosignoli S, Lou H, Sangiorgi G, Bovina R, Pattem JK, Borkar AN, Lombardi M, Forestan C, Milner SG, Davis JL, Lale A, Kirschner GK, Swarup R, Tassinari A, Pandey BK, York LM, Atkinson BS, Sturrock CJ, Mooney SJ, Hochholdinger F, Tucker MR, Himmelbach A, Stein N, Mascher M, Nagel K, De Gara L, Simmonds J, Uauy C, Tuberosa R, Lynch JP, Yakubov GE, Bennett M, Bhosale R, Salvi S., „Root angle is controlled by EGT1 in cereal crops employing a novel anti-gravitropic mechanism,“ Proc Nat Acad Sci 119: e2201350119, 2022. https://doi.org/10.1073/pnas.2201350119
Baldauf JA, Liu M, Vedder L, Yu P, Piepho H-P, Schoof H, Nettleton D, Hochholdinger F., “Single parent expression complementation contributes to phenotypic heterosis in maize hybrids,” Plant Physiol 189: 1625-1638, 2022. https://doi.org/10.1093/plphys/kiac180
Shellakkutti N, Thangamani PD, Suresh K, Baales J, Zeisler-Diehl VV, Osthoff A, Hochholdinger F, Schreiber L, Kreszies T., “Cuticular transpiration is not affected by enhanced wax and cutin amounts in response to osmotic stress in barley,” Physiol Plant 174: e13735, 2022. https://doi.org/10.1111/ppl.13735
Stöcker T, Altrogge L, Marcon C, Win YN, Hochholdinger F, Schoof H., “MuWU: Mu-seq library analysis and annotation,” Bioinformatics 38: 837-838, 2022. https://doi.org/10.1093/bioinformatics/btab679
2021
M. Darino, K. S. Chia, J. Marques, D. Aleksza, L. M. Santo-Jimenez, I. Saado, S. Uhse, M. Borg, R. Betz, J. Bindics, K. Zienkiewicz, I. Feussner, Y. Petit-Houdenot, and A. Djamei, "Ustilago maydis effector Jsi1 interacts with Topless corepressor, hijacking plant jasmonate/ethylene signaling," New Phytologist, 2021. doi:10.1111/nph.17116
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F. Navarrete, M. Gallei, A. E. Kornienko, I. Saado, M. Khan, K. Chia, M. A. Darino, J. Bindics, and A. Djamei, "TOPLESS promotes plant immunity by repressing auxin signaling and is targeted by the fungal effector Naked1," Plant Communications, p. 100269, 2021. doi:10.1101/2021.05.04.442566
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F. Navarrete, N. Grujic, A. Stirnberg, I. Saado, D. Aleksza, M. Gallei, H. Adi, A. Alcântara, M. Khan, J. Bindics, M. Trujillo, and A. Djamei, "The Pleiades are a cluster of fungal effectors that inhibit host defenses," PLOS Pathogens, vol. 17, iss. 6, pp. 1-24, 2021. doi:10.1371/journal.ppat.1009641
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H. Gulabani, K. Goswami, Y. Walia, A. Roy, J. J. Noor, K. D. Ingole, M. Kasera, D. Laha, R. F. H. Giehl, G. Schaaf, and S. Bhattacharjee, "Arabidopsis inositol polyphosphate kinases IPK1 and ITPK1 modulate crosstalk between SA-dependent immunity and phosphate-starvation responses," Plant Cell Reports, 2021. doi:10.1007/s00299-021-02812-3
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E. Riemer, D. Qiu, D. Laha, R. K. Harmel, P. Gaugler, V. Gaugler, M. Frei, M. Hajirezaei, N. P. Laha, L. Krusenbaum, R. Schneider, A. Saiardi, D. Fiedler, H. J. Jessen, G. Schaaf, and R. F. H. Giehl, "ITPK1 is an InsP6/ADP phosphotransferase that controls phosphate signaling in Arabidopsis," Molecular Plant, 2021. doi:10.1016/j.molp.2021.07.011
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S. J. Seidel, T. Gaiser, H. E. Ahrends, H. Hüging, S. Siebert, S. L. Bauke, M. I. Gocke, M. Koch, K. Schweitzer, G. Schaaf, and F. Ewert, "Crop response to P fertilizer omission under a changing climate - Experimental and modeling results over 115 years of a long-term fertilizer experiment," Field Crops Research, vol. 268, p. 108174, 2021. doi:10.1016/j.fcr.2021.108174
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P. Yu, X. He, M. Baer, S. Beirinckx, T. Tian, Y. A. T. Moya, X. Zhang, M. Deichmann, F. P. Frey, V. Bresgen, C. Li, B. S. Razavi, G. Schaaf, N. von Wirén, Z. Su, M. Bucher, K. Tsuda, S. Goormachtig, X. Chen, and F. Hochholdinger, "Plant flavones enrich rhizosphere Oxalobacteraceae to improve maize performance under nitrogen deprivation," Nature Plants, p. 1–19, 2021. doi:10.1038/s41477-021-00897-y
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E. Blagodatskaya, M. Tarkka, C. Knief, R. Koller, S. Peth, V. Schmidt, S. Spielvogel, D. Uteau, M. Weber, and B. S. Razavi, "Bridging Microbial Functional Traits With Localized Process Rates at Soil Interfaces," Frontiers in microbiology, vol. 12, 2021. doi:10.3389/fmicb.2021.625697
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W. Yang, P. Gutbrod, K. Gutbrod, H. Peisker, X. Song, A. Falz, A. J. Meyer, and P. Dörmann, "2-Hydroxy-phytanoyl-CoA lyase (AtHPCL) is involved in phytol metabolism in Arabidopsis," The Plant Journal, 2021. doi:10.1111/tpj.15632
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Z. Zhou, Z. Zhang, A. S. Mason, L. Chen, C. Liu, M. Qin, W. Li, B. Tian, Z. Wu, Z. Lei, and others, "Quantitative traits loci mapping and molecular marker development for total glutenin and glutenin fraction contents in wheat," BMC plant biology, vol. 21, iss. 1, p. 1–13, 2021. doi:10.1186/s12870-021-03221-0
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E. Katche, R. Gaebelein, Z. Idris, P. Vasquez-Teuber, Y. Lo, D. Nugent, J. Batley, and A. S. Mason, "Stable, fertile lines produced by hybridization between allotetraploids Brassica juncea (AABB) and Brassica carinata (BBCC) have merged the A and C genomes," New Phytologist, vol. 230, iss. 3, pp. 1242-1257, 2021. doi:10.1111/nph.17225
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D. Hu, J. Jing, R. J. Snowdon, A. S. Mason, J. Shen, J. Meng, and J. Zou, "Exploring the gene pool of Brassica napus by genomics-based approaches," Plant Biotechnology Journal, vol. 19, iss. 9, pp. 1693-1712, 2021. doi:10.1111/pbi.13636
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K. Zhank, A. S. Mason, M. A. Farooq, and et. al., "Challenges and prospects for a potential allohexaploid Brassica crop," Theoretical and Applied Genetics, vol. 134, pp. 2711-2726, 2021. doi:10.1007/s00122-021-03845-8
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V. Roslinsky, K. C. Falk, R. Gaebelein, A. S. Mason, and C. Eynck, "Development of B. carinata with super-high erucic acid content through interspecific hybridization," Theoretical and Applied Genetics, vol. 134, pp. 3167-3181, 2021. doi:10.1007/s00122-021-03883-2
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S. Dadshani, B. Mathew, A. Ballvora, A. S. Mason, and J. Léon, "Detection of breeding signatures in wheat using a linkage disequilibrium-corrected mapping approach," Scientific Reports, vol. 11, iss. 1, p. 1–12, 2021. doi:10.1038/s41598-021-85226-1
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Z. Akata, A. Geiger, T. Sattler, O. Zatsarynna, J. Sawatzky, and J. Gall, "Discovering Latent Classes for Semi-supervised Semantic Segmentation," in Proc. of German Conference Pattern Recognition, DAGM GCPR 2020 , 2021, p. 202–217. doi:10.1007/978-3-030-71278-5_15
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S. Li, Y. Liu, and J. Gall, "Rethinking 3D LiDAR Point Cloud Segmentation," IEEE Transactions on Neural Networks and Learning Systems, pp. 1-12, 2021. doi:10.1109/TNNLS.2021.3132836
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S. Li, Y. Zhou, J. Yi, and J. Gall, "Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting," in 2021 IEEE/CVF International Conference on Computer Vision (ICCV) , 2021, pp. 1920-1929. doi:10.1109/ICCV48922.2021.00195
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V. Sushko, E. Schönfeld, D. Zhang, J. Gall, B. Schiele, and A. Khoreva, "You Only Need Adversarial Supervision for Semantic Image Synthesis," in International Conference on Learning Representations (ICLR) , 2021.
S. Li, J. Yi, Y. Abu Farha, and J. Gall, "Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition," IEEE Robotics and Automation Letters, 2021. doi:10.48550/arXiv.2010.07367
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N. Behrmann, J. Gall, and M. Noroozi, "Unsupervised Video Representation Learning by Bidirectional Feature Prediction," in Winter Conference on Applications of Computer Vision , 2021.
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B. Schmitz, H. Kuhlmann, and C. Holst, "Towards the empirical determination of correlations in terrestrial laser scanner range observations and the comparison of the correlation structure of different scanners," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 182, pp. 228-241, 2021. doi:10.1016/j.isprsjprs.2021.10.012
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A. Dreier, F. Zimmermann, L. Klingbeil, C. Holst, and H. Kuhlmann, "Strategien zur Selektion von Satelliten in kinematischen GNSS-Anwendungen auf Basis von 3D-Umgebungsmodellen," Allgemeine Vermessungs-Nachrichten (AVN), 2021.
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A. Dreier, J. Janßen, H. Kuhlmann, and L. Klingbeil, "Quality Analysis of Direct Georeferencing in Aspects of Absolute Accuracy and Precision for a UAV-Based Laser Scanning System," Remote Sensing, vol. 13, iss. 18, 2021. doi:10.3390/rs13183564
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D. L. Giammarino, I. Aloise, C. Stachniss, and G. Grisetti, "Visual Place Recognition using LiDAR Intensity Information," in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) , 2021. doi:10.1109/iros51168.2021.9636649
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P. Rottmann, T. Posewsky, A. Milioto, C. Stachniss, and J. Behley, "Improving Monocular Depth Estimation by Semantic Pre-training," in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) , 2021. doi:10.1109/iros51168.2021.9636546
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F. Stache, J. Westheider, F. Magistri, M. Popović, and C. Stachniss, "Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation," in European Conference on Mobile Robots (ECMR) , 2021. doi:10.1109/ecmr50962.2021.9568788
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M. Arora, L. Wiesmann, X. Chen, and C. Stachniss, "Mapping the Static Parts of Dynamic Scenes from 3D LiDAR Point Clouds Exploiting Ground Segmentation," in European Conference on Mobile Robots (ECMR) , 2021. doi:10.1109/ecmr50962.2021.9568799
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X. Chen, S. Li, B. Mersch, L. Wiesmann, J. Gall, J. Behley, and C. Stachniss, "Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data," IEEE Robotics and Automation Letters, 2021. doi:10.1109/LRA.2021.3093567
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X. Chen, T. Läbe, A. Milioto, T. Röhling, J. Behley, and C. Stachniss, "OverlapNet: A Siamese Network for Computing LiDAR Scan Similarity with Applications to Loop Closing and Localization," Autonomous Robots, 2021. doi:10.1007/s10514-021-09999-0
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J. Behley, M. Garbade, A. Milioto, J. Quenzel, S. Behnke, J. Gall, and C. Stachniss, "Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset," The International Journal of Robotics Research, vol. 40, iss. 8-9, pp. 959-967, 2021. doi:10.1177/02783649211006735
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A. Barreto, P. Lottes, F. R. Ispizua Yamati, S. Baumgarten, N. A. Wolf, C. Stachniss, A. -K. Mahlein, and S. Paulus, "Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry," Computers and Electronics in Agriculture, vol. 191, p. 106493, 2021. doi:10.1016/j.compag.2021.106493
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D. Schunck, F. Magistri, R. A. Rosu, A. Cornelißen, N. Chebrolu, S. Paulus, J. Léon, S. Behnke, C. Stachniss, H. Kuhlmann, and L. Klingbeil, "Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis ," PLOS ONE, vol. 16, iss. 8, pp. 1-18, 2021. doi:10.1371/journal.pone.0256340
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F. Görlich, E. Marks, A. -K. Mahlein, K. König, P. Lottes, and C. Stachniss, "UAV-Based Classification of Cercospora Leaf Spot Using RGB Images," Drones, vol. 5, iss. 2, 2021. doi:10.3390/drones5020034
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N. Chebrolu, F. Magistri, T. Läbe, and C. Stachniss, "Registration of Spatio-Temporal Point Clouds of Plants for Phenotyping," PLOS ONE, 2021. doi:10.1371/journal.pone.0247243
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J. Weyler, A. Milioto, T. Falck, J. Behley, and C. Stachniss, "Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping," IEEE Robotics and Automation Letters (RA-L), 2021. doi:10.1109/lra.2021.3060712
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L. Wiesmann, A. Milioto, X. Chen, C. Stachniss, and J. Behley, "Deep Compression for Dense Point Cloud Maps," IEEE Robotics and Automation Letters (RA-L), 2021. doi:10.1109/lra.2021.3059633
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N. Chebrolu, T. Läbe, O. Vysotska, J. Behley, and C. Stachniss, "Adaptive Robust Kernels for Non-Linear Least Squares Problems," IEEE Robotics and Automation Letters (RA-L), 2021. doi:10.1109/lra.2021.3061331
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F. Magistri, N. Chebrolu, J. Behley, and C. Stachniss, "Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2021. doi:10.1109/icra48506.2021.9561356
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I. Vizzo, X. Chen, N. Chebrolu, J. Behley, and C. Stachniss, "Poisson Surface Reconstruction for LiDAR Odometry and Mapping," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2021. doi:10.1109/icra48506.2021.9562069
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X. Chen, I. Vizzo, T. Läbe, J. Behley, and C. Stachniss, "Range Image-based LiDAR Localization for Autonomous Vehicles," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2021. doi:10.1109/icra48506.2021.9561335
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A. Reinke, X. Chen, and C. Stachniss, "Simple But Effective Redundant Odometry for Autonomous Vehicles," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2021. doi:10.1109/icra48506.2021.9562023
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J. Behley, A. Milioto, and C. Stachniss, "A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2021. doi:10.1109/icra48506.2021.9561476
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C. Carbone, D. Albani, F. Magistri, D. Ognibene, C. Stachniss, G. Kootstra, D. Nardi, and V. Trianni, "Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain," in Proc. of the Intl. Symp. on Distributed Autonomous Robotic Systems (DARS) , 2021. doi:10.1007/978-3-030-92790-5_24
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Yu P, He X, Baer M, Beirinckx S, Tian T, Moya YAT, Zhang Y, Deichmann M, Frey FP, Bresgen V, Li C, Razavi BS, Schaaf G, von Wirén N, Su Z, Bucher M, Tsuda K, Goormachtig S, Chen X, Hochholdinger F., “Plant flavones enrich rhizosphere Oxalobacteraceae to improve maize performance under nitrogen deprivation,” Nat Plants 7: 481–499, 2021. https://doi.org/10.1038/s41477-021-00897-y
Kirschner GK, Rosignoli S, Guo L, Vardanega I, Imani J, Altmüller J, Milner SG, Balzano R, Nagel KA, Pflugfelder D, Forestan C, Bovina R, Koller R, Stöcker TG, Mascher M, Simmonds J, Uauy C, Schoof H, Tuberosa R, Salvi S, Hochholdinger F., “ENHANCED GRAVITROPISM 2 encodes a STERILE ALPHA MOTIVE containing protein that controls root growth angle in barley and wheat,” Proc Nat Acad Sci 118: e2101526118, 2021. https://doi.org/10.1073/pnas.2101526118
Zhou Y, Sommer ML, Hochholdinger F., “Cold response and tolerance in cereal roots,” J Exp Bot 72: 7474-7481, 2021. https://doi.org/10.1093/jxb/erab334
Bonkowski M, Tarkka MT, Razavi BS, Schmidt H, Blagodatskaya E, Koller R, Yu P, Knief C, Hochholdinger F, Vetterlein D., “Spatiotemporal dynamics of maize (Zea mays L.) root growth and its potential consequences for the assembly of the rhizosphere microbiota,” Front Microbiol 17: 619499, 2021. https://doi.org/10.3389/fmicb.2021.619499
Rüger L, Feng K, Dumack K, Chen Y, Sun R, Wilson M, Yu P, Sun B, Deng Y, Hochholdinger F, Vetterlein D, Bonkowski M., “Assembly patterns of the rhizosphere microbiome along the longitudinal root axis of maize (Zea mays L.),” Front Microbiol 12: 614501, 2021. https://doi.org/10.3389/fmicb.2021.614501
2020
P. Gaugler, V. Gaugler, M. Kamleitner, and G. Schaaf, "Extraction and Quantification of Soluble, Radiolabeled Inositol Polyphosphates from Different Plant Species using SAX-HPLC," Journal of Visualized Experiments, iss. 160, 2020. doi:10.3791/61495
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O. -H. Kwon, J. Tanke, and J. Gall, "Recursive Bayesian Filtering for Multiple Human Pose Tracking from Multiple Cameras," in Asian Conference on Computer Vision (ACCV'20) , 2020. doi:10.1007/978-3-030-69532-3_27
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J. Yi, L. Krusenbaum, P. Unger, H. Hüging, S. J. Seidel, G. Schaaf, and J. Gall, "Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images," Sensors, vol. 12, 2020. doi:10.3390/s20205893
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B. Heeren, S. Paulus, H. Goldbach, H. Kuhlmann, A. -K. Mahlein, M. Rumpf, and B. Wirth, "Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets," BMC Bioinformatics, vol. 21, iss. 1, 2020. doi:10.1186/s12859-020-03654-8
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J. Bömer, L. Zabawa, P. Sieren, A. Kicherer, L. Klingbeil, U. Rascher, O. Muller, H. Kuhlmann, and R. Roscher, "Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks," in Computer Vision – ECCV 2020 Workshops , Cham, 2020, p. 347–359. doi:10.1007/978-3-030-65414-6_24
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E. Heinz, C. Holst, H. Kuhlmann, and L. Klingbeil, "Design and Evaluation of a Permanently Installed Plane-Based Calibration Field for Mobile Laser Scanning Systems," Remote Sensing, vol. 12, iss. 3, 2020. doi:10.3390/rs12030555
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N. Dengler, T. Zaenker, F. Verdoja, and M. Bennewitz, "Online Object-Oriented Semantic Mapping and Map Updating," in 2021 European Conference on Mobile Robots (ECMR) , 2021, pp. 1-7. doi:10.1109/ECMR50962.2021.9568817
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T. Zaenker, C. Smitt, C. McCool, and M. Bennewitz, "Viewpoint Planning for Fruit Size and Position Estimation," in Proc.~of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2021, pp. 3271-3277. doi:10.1109/iros51168.2021.9636701
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C. Smitt, M. Halstead, T. Zaenker, M. Bennewitz, and C. McCool, "PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention," in Proc.~of the IEEE International Conference on Robotics & Automation (ICRA) , 2021, pp. 2324-2330. doi:10.1109/icra48506.2021.9562047
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C. Gebauer and M. Bennewitz, "Penalized Bootstrapping for Reinforcement Learning in Robot Control," in 2nd International Conference on Machine Learning & Applications , 2020. doi:10.5121/csit.2020.101114
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P. Regier, L. Gesing, and M. Bennewitz, "Deep Reinforcement Learning for Navigation in Cluttered Environments," in 2nd International Conference on Machine Learning & Applications , 2020. doi:10.5121/csit.2020.101117
[BibTeX] [PDF]
N. Chebrolu, T. Läbe, and C. Stachniss, "Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2020. doi:10.1109/icra40945.2020.9197569
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A. Ahmadi, L. Nardi, N. Chebrolu, and C. Stachniss, "Visual Servoing-based Navigation for Monitoring Row-Crop Fields," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2020. doi:10.1109/icra40945.2020.9197114
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X. Wu, S. Aravecchia, P. Lottes, C. Stachniss, and C. Pradalier, "Robotic Weed Control Using Automated Weed and Crop Classification," Journal of Field Robotics, vol. 37, pp. 322-340, 2020. doi:10.1002/rob.21938
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L. Nardi and C. Stachniss, "Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2020. doi:10.1109/icra40945.2020.9197078
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X. Chen, T. Läbe, A. Milioto, T. Röhling, O. Vysotska, A. Haag, J. Behley, and C. Stachniss, "OverlapNet: Loop Closing for LiDAR-based SLAM," in Proceedings of Robotics: Science and Systems (RSS) , 2020. doi:10.15607/rss.2020.xvi.009
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A. Milioto, J. Behley, C. McCool, and C. Stachniss, "LiDAR Panoptic Segmentation for Autonomous Driving," in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2020. doi:10.1109/iros45743.2020.9340837
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D. Gogoll, P. Lottes, J. Weyler, N. Petrinic, and C. Stachniss, "Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots," in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2020. doi:10.1109/iros45743.2020.9341277
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F. Magistri, N. Chebrolu, and C. Stachniss, "Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping," in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2020. doi:10.1109/iros45743.2020.9340918
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X. Chen, T. Läbe, L. Nardi, J. Behley, and C. Stachniss, "Learning an Overlap-based Observation Model for 3D LiDAR Localization," in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2020. doi:10.1109/iros45743.2020.9340769
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F. Langer, A. Milioto, A. Haag, J. Behley, and C. Stachniss, "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks," in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2020, pp. 8263-8270. doi:10.1109/IROS45743.2020.9341508
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R. Sheikh, A. Milioto, P. Lottes, C. Stachniss, M. Bennewitz, and T. Schultz, "Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots," in 2020 IEEE International Conference on Robotics and Automation (ICRA) , 2020, pp. 1350-1356. doi:10.1109/ICRA40945.2020.9196722
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J. Quenzel, R. A. Rosu, T. Läbe, C. Stachniss, and S. Behnke, "Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching," in 2020 IEEE International Conference on Robotics and Automation (ICRA) , 2020, pp. 272-278. doi:10.1109/ICRA40945.2020.9197483
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2019
D. Laha, N. Parvin, A. Hofer, R. F. H. Giehl, N. Fernandez-Rebollo, N. von Wirén, A. Saiardi, H. J. Jessen, and G. Schaaf, "Arabidopsis ITPK1 and ITPK2 Have an Evolutionarily Conserved Phytic Acid Kinase Activity," ACS Chemical Biology, vol. 14, iss. 10, pp. 2127-2133, 2019. doi:10.1021/acschembio.9b00423
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O. Vysotska, H. Kuhlmann, and C. Stachniss, "UAVs Towards Sustainable Crop Production," in Workshop at Robotics: Science and Systems , 2019.
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J. Behley, M. Garbade, A. Milioto, J. Quenzel, S. Behnke, C. Stachniss, and J. Gall, "SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences." 2019. doi:10.1109/iccv.2019.00939
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E. Palazzolo, J. Behley, P. Lottes, P. Giguère, and C. Stachniss, "ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals," in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) , 2019. doi:10.1109/iros40897.2019.8967590
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X. Chen, A. Milioto, E. Palazzolo, P. Giguère, J. Behley, and C. Stachniss, "SuMa++: Efficient LiDAR-based Semantic SLAM," in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) , 2019. doi:10.1109/iros40897.2019.8967704
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A. Milioto, I. Vizzo, J. Behley, and C. Stachniss, "RangeNet++: Fast and Accurate LiDAR Semantic Segmentation," in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) , 2019. doi:10.1109/iros40897.2019.8967762
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F. Yan, O. Vysotska, and C. Stachniss, " Global Localization on OpenStreetMap Using 4-bit Semantic Descriptors," in Proceedings of the European Conference on Mobile Robots (ECMR) , 2019. doi:10.1109/ecmr.2019.8870918
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R. Schirmer, P. Bieber, and C. Stachniss, "Coverage Path Planning in Belief Space ," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2019. doi:10.1109/icra.2019.8793969
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K. Huang and C. Stachniss, "Accurate Direct Visual-Laser Odometry with Explicit Occlusion Handling and Plane Detection," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2019. doi:10.1109/icra.2019.8793629
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O. Vysotska and C. Stachniss, "Effective Visual Place Recognition Using Multi-Sequence Maps," IEEE Robotics and Automation Letters (RA-L), 2019. doi:10.1109/lra.2019.2897160
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N. Chebrolu, P. Lottes, T. Läbe, and C. Stachniss, "Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2019. doi:10.1109/icra.2019.8794030
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A. Milioto and C. Stachniss, "Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2019. doi:10.1109/icra.2019.8793510
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A. Milioto, L. Mandtler, and C. Stachniss, "Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2019. doi:10.1109/icra.2019.8793593
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L. Nardi and C. Stachniss, "Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs," in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA) , 2019. doi:10.1109/icra.2019.8794121
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L. Nardi and C. Stachniss, "Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models," in Proc. of the IEEE Intl. Conf. on Robotics and Automation (ICRA) , 2019. doi:10.1109/icra.2019.8794079
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Haberer G, Kamal N, Bauer E, Gundlach H, Fischer I, Seidel MA, Spannagl M, Marcon C, Ruban A, Urbany C, Nemri A, Hochholdinger, F, Ouzunova, M, Houben A, Schön C-C, Mayer KFX., “European maize genomes highlight intra-species variation in repeat and gene content,” Nature Genet 52: 950–957. 2020. https://doi.org/10.1038/s41588-020-0671-9
Marcon C, Altrogge L, Win Y, Stöcker T, Gardiner J, Portwood J, Opitz N, Kortz A, Baldauf J, Hunter C, McCarty D, Koch K, Schoof H, Hochholdinger F., “BonnMu: a sequence-indexed resource of transposon induced maize mutations for functional genomics studies,” Plant Physiol 184: 620-631, 2020. https://doi.org/10.1104/pp.20.00478
Zheng Z, Hey S, Jubery T, Liu H, Yang Y, Coffey L, Miao C, Sigmon B, Schnable J, Hochholdinger F, Ganapathysubramanian P, Schnable PS., “Shared genetic control of root system architecture between Zea mays and Sorghum bicolor,” Plant Physiol 182: 977-991, 2020.
https://doi.org/10.1104/pp.19.00752
Baldauf JA, Vedder L, Schoof H, Hochholdinger F., “Robust non-syntenic gene expression patterns in diverse maize hybrids during root development,” J Exp Bot 71: 865–876, 2020.
https://doi.org/10.1093/jxb/erz452
Vetterlein D, Lippold E, Schreiter S, Phalempin M, Fahrenkampf T, Hochholdinger F, Marcon C, Tarkka M, Oburger E, Ahmed M, Javaux M, Schlüter S., “Experimental platforms for the investigation of spatiotemporal patterns in the rhizosphere - laboratory and field scale,” J Plant Nutr Soil Sc 184: 35-50, 2020. https://doi.org/10.1002/jpln.202000079
Frey FP, Pitz M, Schön CC, Hochholdinger F., “Transcriptomic diversity in seedling roots of European flint maize in response to cold,” BMC Genomics 21: 300, 2020. https://doi.org/10.1186/s12864-020-6682-1
Kreszies T, Eggels S, Kreszies V, Osthoff A, Shellakkutti N, Baldauf JA, Zeisler-Diehl VV, Hochholdinger F, Ranathunge K, Schreiber L., “Seminal roots of wild and cultivated barley differentially respond to osmotic stress in gene expression, suberization and hydraulic conductivity,” Plant Cell Environ 43: 344-357, 2020. https://doi.org/10.1111/pce.13675