Casado Herraez, D., M. Zeller, L. Chang, I. Vizzo, M. Heidingsfeld, and C. Stachniss (2024) Radar-Only Odometry and Mapping for Autonomous Vehicles, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA)
Gupta, S., T. Guadagnino, B. Mersch, I. Vizzo, and C. Stachniss (2024) Effectively Detecting Loop Closures using Point Cloud Density Maps, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA)
Hroob, I., B. Mersch, C. Stachniss, and M. Hanheide (2024) 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 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/hroob2024ral.pdf
Magistri, F., R. Marcuzzi, E. A. Marks, M. Sodano, J. Behley, and C. Stachniss (2024) Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA)
Malladi, M. V. R., T. Guadagnino, L. Lobefaro, M. Mattamala, H. Griess, J. Schweier, N. Chebrolu, M. Fallon, J. Behley, and C. Stachniss (2024) Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA)
Nunes, L., R. Marcuzzi, B. Mersch, J. Behley, and C. Stachniss (2024) Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion, Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/nunes2024cvpr.pdf
Pan, Y., X. Zhong, L. Wiesmann, T. Posewsky, J. Behley, and C. Stachniss (2024) PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency, arXiv Preprint, vol. arXiv:2401.09101 https://arxiv.org/pdf/2401.09101v1.pdf
Rückin, J., F. Magistri, C. Stachniss, and M. Popović (2024) Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning, IEEE Robotics and Automation Letters (RA-L), 2024
Smitt, C., M. A. Halstead, P. Zimmer, T. Läbe, E. Guclu, C. Stachniss, and C. S. McCool (2024) PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics, IEEE Robotics and Automation Letters (RA-L), vol. 9, iss. 1, pp. 907-914 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/smitt2024ral-pagn.pdf
Sodano, M., F. Magistri, L. Nunes, J. Behley, and C. Stachniss (2024) Open-World Semantic Segmentation Including Class Similarity, Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/sodano2024cvpr.pdf
Weyler, J., T. Läbe, J. Behley, and C. Stachniss (2024) Panoptic Segmentation with Partial Annotations for Agricultural Robots, IEEE Robotics and Automation Letters (RA-L), vol. 9, iss. 2, pp. 1660-1667, 2024 https://ieeexplore.ieee.org/document/10373170
Wu, Y., T. Guadagnino, L. Wiesmann, L. Klingbeil, C. Stachniss, and H. Kuhlmann (2024) LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA)
Yin, H., X. Xu, S. Lu, X. Chen, R. Xiong, S. Shen, C. Stachniss, and Y. Wang (2024) A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems, Intl. Journal of Computer Vision (IJCV) https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zhong2024cvpr.pdf
Zeller, M., D. Casado Herraez, J. Behley, M. Heidingsfeld, and C. Stachniss (2024) Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA)
Zeller, M., V. S. Sandhu, B. Mersch, J. Behley, M. Heidingsfeld, and C. Stachniss (2024) Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds, IEEE Transactions on Robotics (TRO) https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zeller2024tro.pdf
Zhong, X., Y. Pan, C. Stachniss, and J. Behley (2024) 3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation, Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zhong2024cvpr.pdf

Arora, M., L. Wiesmann, X. Chen, and C. Stachniss (2023) Static Map Generation from 3D LiDAR Point Clouds Exploiting Ground Segmentation , Robotics and Autonomous Systems, Vol. 159: p. 104287 https://doi.org/10.1016/j.robot.2022.104287
Barath, D., D. Mishkin, M. Polic, W. Förstner, and J. Matas (2023) A Large-Scale Homography Benchmark, Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 21360-21370 https://openaccess.thecvf.com/content/CVPR2023/papers/Barath_A_Large-Scale_Homography_Benchmark_CVPR_2023_paper.pdf
Chong, Y. L., J. Weyler, P. Lottes, J. Behley, and C. Stachniss (2023) 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), vol. 8, iss. 8, p. 5259–5266 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chong2023ral.pdf
Dong, H., X. Chen, M. Dusmanu, V. Larsson, M. Pollefeys, and C. Stachniss (2023) Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors, IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/dong2023icra.pdf
Dong, H., X. Chen, S. Särkkä, and C. Stachniss (2023) Online pole segmentation on range images for long-term LiDAR localization in urban environments, Robotics and Autonomous Systems, Vol. 159, p 104283 https://doi.org/10.1016/j.robot.2022.104283
Goel, Y., N. Vaskevicius, L. Palmieri, N. Chebrolu, K. O. Arras, and C. Stachniss (2023) Semantically Informed MPC for Context-Aware Robot Exploration, Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/goel2023iros.pdf
Gomez, C. , A. C. Hernandez, R. Barber, and C. Stachniss (2023) Localization Exploiting Semantic and Metric Information in Non-static Indoor Environments, Journal of Intelligent & Robotic Systems, vol. 109, iss. 86, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/gomez2023jint.pdf
Kelly, S., A. Riccardi, E. Marks, F. Magistri, T. Guadagnino, M. Chli, and C. Stachniss (2023) Target-Aware Implicit Mapping for Agricultural Crop Inspection, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/kelly2023icra.pdf
Kuang, H., X. Chen, T. Guadagnino, N. Zimmerman, J. Behley, and C. Stachniss (2023) IR-MCL: Implicit Representation-Based Online Global Localization, IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 3, p. 1627–1634 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/kuang2023ral.pdf
Lim, H., L. Nunes, B. Mersch, X. Chen, J. Behley, H. Myung, and C. Stachniss (2023) ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes, Proc. of Robotics: Science and Systems (RSS) https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/lim2023rss.pdf
Lobefaro, L., M. V. R. Malladi, O. Vysotska, T. Guadagnino, and C. Stachniss (2023) Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots, Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/lobefaro2023iros.pdf
Magistri, F., J. Weyler, D. Gogoll, P. Lottes, J. Behley, N. Petrinic, and C. Stachniss (2023) From one Field to Another – Unsupervised Domain Adaptation for Semantic Segmentation in Agricultural Robotics, Computers and Electronics in Agriculture, vol. 212, p. 108114 https://doi.org/10.1016/j.compag.2023.108114
Marcuzzi, R., L. Nunes, L. Wiesmann, E. Marks, J. Behley, and C. Stachniss (2023) Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences, IEEE Robotics and Automation Letters (RA-L), 2023 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/marcuzzi2023ral-meem.pdf
Marcuzzi, R., L. Nunes, L. Wiesmann, J. Behley, and C. Stachniss (2023) Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving, IEEE Robotics and Automation Letters (RA-L) 8(2), p. 1141–1148 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/marcuzzi2023ral.pdf
Marks, E.,M. Sodano, F. Magistri, L. Wiesmann, D. Desai, R. Marcuzzi, J. Behley, and C. Stachniss (2023) High Precision Leaf Instance Segmentation in Point Clouds Obtained Under Real Field Conditions, IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 8, pp. 4791-4798 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/marks2023ral.pdf
Mersch, B., T. Guadagnino, X. Chen, I. Vizzo, J. Behley, and C. Stachniss (2023) Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation, IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 8, p. 5180–5187 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mersch2023ral.pdf
Müller, H., N. Zimmerman, T. Polonelli, M. Magno, J. Behley, C. Stachniss, and L. Benini (2023) Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs, Proc. of Design, Automation & Test in Europe Conference & Exhibition (DATE) https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mueller2023date.pdf
Nunes, L., L. Wiesmann, R. Marcuzzi, X. Chen, J. Behley, and C. Stachniss (2023) Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving, Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/nunes2023cvpr.pdf
Pan, Y., F. Magistri, T. Läbe, E. Marks, C. Smitt, C. S. McCool, J. Behley, and C. Stachniss (2023) Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots, Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/pan2023iros.pdf
Peters, L., V. Rubies Royo, C. Tomlin, L. Ferranti, J. Alonso-Mora, C. Stachniss, and D. Fridovich-Keil (2023) Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games, The Intl. Journal of Robotics Research, https://doi.org/10.1177/02783649231182453
Riccardi, A., S. Kelly, E. Marks, F. Magistri, T. Guadagnino, J. Behley, M. Bennewitz, and C. Stachniss (2023) Fruit Tracking Over Time Using High-Precision Point Clouds, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/riccardi2023icra.pdf
Roggiolani, G., F. Magistri, T. Guadagnino, G. Grisetti, C. Stachniss, and J. Behley (2023) On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/roggiolani2023icra-odsp.pdf
Roggiolani, G., F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss (2023) Unsupervised Pre-Training for 3D Leaf Instance Segmentation, IEEE Robotics and Automation Letters (RA-L), 2023. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/roggiolani2023ral.pdf
Roggiolani, G., M. Sodano, F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss (2023) Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/roggiolani2023icra-hajs.pdf
Roscher, R., L. Roth, C. Stachniss, and A. Walter (2023) Data-Centric Digital Agriculture: A Perspective, arXiv Preprint, 2023
Rückin, J., F. Magistri, C. Stachniss, and M. Popovic (2023) An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping, IEEE Transactions on Robotics https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/rueckin2023tro.pdf
Sodano, M., F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss (2023) Robust Double-Encoder Network for RGB-D Panoptic Segmentation,, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/sodano2023icra.pdf
Stache, F., J. Westheider, F. Magistri, C. Stachniss, and M. Popovic (2023) Adaptive Path Planning for UAVs for Multi-Resolution Semantic Segmentation, Robotics and Autonomous Systems, Vol. 159: p. 104288 https://doi.org/10.1016/j.robot.2022.104288
Vizzo, I., T. Guadagnino, B. Mersch, L. Wiesmann, J. Behley, and C. Stachniss (2023) KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way, IEEE Robotics and Automation Letters (RA-L), 8(2), p. 1029-1036 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf
Vizzo, I., B. Mersch, L. Nunes, L. Wiesmann, T. Guadagnino, and C. Stachniss (2023) Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition, Proc. of the Intl. Conf. on Intelligent Transportation Systems Workshops, 2023 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023itcsws.pdf
W. Förstner (2023) Friedrich Ackermann’s scientific research program, Geo-spatial Information Science, vol. 26, iss.2, pp. 1 - 10 https://www.tandfonline.com/doi/pdf/10.1080/10095020.2023.2231273?download=true
Weyler, J., F. Magistri, E. Marks, Y. L. Chong, M. Sodano, G. Roggiolani, N. Chebrolu, C. Stachniss, and J. Behley (2023) PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain, arXiv preprint, vol. arXiv:2306.04557, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/weyler2023arxiv.pdf
Weyler, J., T. Läbe, F. Magistri, J. Behley, and C. Stachniss (2023) Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robot, IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 6, pp. 3310-3317, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/weyler2023ral.pdf
Wiesmann, L., L. Nunes, J. Behley, and C. Stachniss (2023) KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition, IEEE Robotics and Automation Letters (RA-L) 8(2), p. 592-599 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2023ral.pdf
Wiesmann, L., T. Guadagnino, I. Vizzo, N. Zimmerman, Y. Pan, H. Kuang, J. Behley, and C. Stachniss (2023) LocNDF: Neural Distance Field Mapping for Robot Localization, IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 8, p. 4999–5006 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2023ral-icra.pdf
Wu, Y., J. Kuang, X. Niu, J. Behley, L. Klingbeil, and H. Kuhlmann (2023) Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU, IEEE Robotics and Automation Letters (RA-L) 8(1), p. 280-287 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wu2023ral.pdf
Zeller, M., J. Behley, M. Heidingsfeld, and C. Stachniss (2023) Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data, IEEE Robotics and Automation Letters (RA-L) 8(1), p. 344-351 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zeller2023ral.pdf
Zeller, M., V. S. Sandhu, B. Mersch, J. Behley, M. Heidingsfeld, and C. Stachniss (2023) Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zeller2023icra.pdf
Zhong, X., Y. Pan, J. Behley, and C. Stachniss (2023) SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations, Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zhong2023icra.pdf
Zimmerman, N., M. Sodano, E. Marks, J. Behley, and C. Stachniss (2023) Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization, Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zimmerman2023iros.pdf
Zimmerman, N., T. Guadagnino, X. Chen, J. Behley, and C. Stachniss (2023) Long-Term Localization using Semantic Cues in Floor Plan Maps, IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 1, pp. 176-183 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zimmerman2023ral.pdf

Chen, X., B. Mersch, L. Nunes, R. Marcuzzi, I. Vizzo, J. Behley, and C. Stachniss (2022) Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation, IEEE Robotics and Automation Letters 7(3): pp. 6107-6114 https://doi.org/10.1109/LRA.2022.3166544
Di Giammarino, L., L. Brizi, T. Guadagnino, C. Stachniss, and G. Grisetti (2022) MD-SLAM: Multi-Cue Direct SLAM,, Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2022 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/digiammarino2022iros.pdf
Goel, Y., N. Vaskevicius, L. Palmieri, N. Chebrolu, and C. Stachniss (2022) Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation, ROS Workshop on Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments, 2022., https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/goel2022irosws.pdf
Guadagnino, T., X. Chen, M. Sodano, J. Behley, G. Grisetti, and C. Stachniss (2022) Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images, IEEE Robotics and Automation Letters 7(3): pp. 7597-7604 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/guadagnino2022ral-iros.pdf
Li, S., X. Chen, Y. Liu, D. Dai, C. Stachniss, and J. Gall (2022) Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform, IEEE Robotics and Automation Letters 7(2), pp. 738-745, http://dx.doi.org/10.1109/LRA.2021.3132059
Ma, J., J. Zhang, J. Xu, R. Ai, W. Gu, C. Stachniss, and X. Chen (2022) OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition, arXiv preprint, 2022. https://arxiv.org/pdf/2203.03397.pdf
Magistri, F., E. Marks, S. Nagulavancha, I. Vizzo, T. Läbe, J. Behley, M. Halstead, C. McCool, and C. Stachniss (2022) Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots using RGB-D Frames, IEEE Robotics and Automation Letters (RA-L), vol. 7, iss. 4, pp. 10120-10127, 2022 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/magistri2022ral-iros.pdf
Marcuzzi, R., L. Nunes, L. Wiesmann, I. Vizzo, J. Behley, and C. Stachniss, (2022) Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR Scans, IEEE Robotics and Automation Letters 7(2): pp. 1550-1557, http://dx.doi.org/10.1109/LRA.2022.3140439
Marks, E., F. Magistri, and C. Stachniss (2022) Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching, Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA). https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/marks2022icra.pdf
Mersch, B., X. Chen, I. Vizzo, L. Nunes, J. Behley, and C. Stachniss (2022) Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions, IEEE Robotics and Automation Letters 7(3): pp. 7597-7604 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mersch2022ral.pdf
Nunes, L., X. Chen, R. Marcuzzi, A. Osep, L. Leal-Taixé, C. Stachniss, and J. Behley (2022) Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles, IEEE Robotics and Automation Letters 7(4): pp. 8713-8720 https://www.ipb.uni-bonn.de/pdfs/nunes2022ral-iros.pdf
Nunes, L., R. Marcuzzi, X. Chen, J. Behley, and C. Stachniss (2022) SegContrast: 3D Point Cloud Feature Representation Learning through Self-supervised Segment Discrimination, IEEE Robotics and Automation Letters 7(2): pp. 2116 - 2123 http://www.ipb.uni-bonn.de/pdfs/nunes2022ral-icra.pdf
Pan, Y., Y. Kompis, L. Bartolomei, R. Mascaro, C. Stachniss, and M. Chli (2022) Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction, Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2022, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/pan2022iros.pdf
Peters, L., D. Fridovich-Keil, L. Ferranti, C. Stachniss, J. Alonso-Mora, and F. Laine (2022) Learning Mixed Strategies in Trajectory Games, Proceedings of Robotics: Science and Systems (RSS), 2022. https://arxiv.org/pdf/2205.00291.pdf
Rückin, J., L. Jin, F. Magistri, C. Stachniss, and M. Popović (2022) Informative Path Planning for Active Learning in Aerial Semantic Mapping, Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2022 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/rueckin2022iros.pdf
Sun, J., Y. Wang, M. Feng, D. Wang, J. Zhao, C. Stachniss, and X. Chen (2022) ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation, Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2022
Vizzo, I., B. Mersch, R. Marcuzzi, L. Wiesmann, J. and Behley, and C. Stachniss (2022) Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments, IEEE Robotics and Automation Letters (RA-L), vol. 7, iss. 3: 8534-8541 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2022ral-iros.pdf
Vizzo, I., T. Guadagnino, B. Mersch, L. Wiesmann, J. Behley, and C. Stachniss (2022) KISS-In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way, arXiv Preprint, 2022, http://dx.doi.org/10.48550/ARXIV.2209.15397
Vizzo, I., T. Guadagnino, J. Behley, and C. Stachniss (2022) VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data, Sensors 22(3), 1296, https://doi.org/10.3390/s22031296
Weyler, J., F. and Magistri, P. Seitz, J. Behley, and C. Stachniss (2022) In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation, Proc. of the Winter Conf. on Applications of Computer Vision (WACV) https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/weyler2022wacv.pdf
Weyler, J., J. Quakernack, P. Lottes, J. Behley, and C. Stachniss (2022) Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery, IEEE Robotics and Automation Letters 7(2): pp. 3787-3794 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/weyler2022ral.pdf
Wiesmann, L. , T. Guadagnino, I. Vizzo, G. Grisetti, J. Behley, and C. Stachniss (2022) DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments, IEEE Robotics and Automation Letters 7(3,): pp. 6327-6334 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2022ral-iros.pdf
Wiesmann, L., R. Marcuzzi, C. Stachniss, and J. Behley (2022) Retriever: Point Cloud Retrieval in Compressed 3D Maps, Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA). https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2022icra.pdf
Wiesmann, L., T. Guadagnino, I. Vizzo, G. Grisetti, J. Behley, and C. Stachniss (2022) DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments, IEEE Robotics and Automation Letters (RA-L) 7(3): 6327 - 6334 https://doi.org/10.1109/LRA.2022.3171068
Yang, S. , L. Zheng, X. Chen, L. Zabawa, M. Zhang, and M. Wang (2022) Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod, Proceedings of the IEEE/CVF Conf.~on Computer Vision and Pattern Recognition Workshops, 2022
Zimmerman, N., L. Wiesmann, T. Guadagnino, T. Läbe, J. Behley, and C. Stachniss (2022) Robust Onboard Localization in Changing Environments Exploiting Text Spotting, Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2022 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zimmerman2022iros.pdf

Arora, M., L. Wiesmann, X. Chen, and C. Stachniss (2021) Static Map Construction for 3D LiDAR Point Clouds exploiting Ground Segmentation, Proceedings of the European Conference on Mobile Robots (ECMR), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/arora2021ecmr.pdf
Aygün, M. , A. Osep, M. Weber, M. Maximov, C. Stachniss, J. Behley, and L. Leal-Taixe (2021) 4D Panoptic Segmentation, Proceedings of the IEEE/CVF Converence on Computer Vision and Pattern Recognition (CVPR), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/ayguen2021cvpr.pdf
Barreto, A., P. Lottes, F. R. Ispizua, S. Baumgarten, N. A. Wolf, C. Stachniss, A. -K. Mahlein, and S. Paulus (2021) Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry, Computers and Electronics in Agriculture 191: 106493, https://doi.org/10.1016/j.compag.2021.106493
Behley, J., A. Milioto, and C. Stachniss (2021) A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2021 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/behley2021icra.pdf
Behley, J., M. Garbade, A. Milioto, J. Quenzel, S. Behnke, J. Gall, and C. Stachniss (2021) Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset, The Intl. Journal of Robotics Research 40(8-9), pp. 959-967 https://doi.org/10.1177/02783649211006735
Carbone, C., D. Albani, F. Magistri, D. Ognibene, C. Stachniss, G. Kootstra, D. Nardi, and V. Trianni (2021) Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain, Proceedings of the Intl. Symp. on Distributed Autonomous Robotic Systems (DARS), https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/carbone2021dars.pdf
Chebrolu, N. (2021) Spatio-Temporal Registration Techniques for Agricultural Robots, bonndoc, https://nbn-resolving.org/urn:nbn:de:hbz:5-62629
Chebrolu, N., F. Magistri, T. Läbe, and C. Stachniss (2021) Registration of Spatio-Temporal Point Clouds of Plants for Phenotyping, PLoS ONE 16(2): e0247243, https://doi.org/10.1371/journal.pone.0247243
Chebrolu, N., T. Läbe, O. Vysotska, J. Behley, and C. Stachnis (2021) Adaptive Robust Kernels for Non-Linear Least Squares Problems, IEEE Robotics and Automation Letters (RA-L) 6(2): pp. 2240-2247, 2021. https://dx.doi.org/10.1109/LRA.2021.3061331
Chen, X., I. Vizzo, T. Läbe, J. Behley, and C. Stachniss (2021) Range Image-based LiDAR Localization for Autonomous Vehicles, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chen2021icra.pdf
Chen, X., S. Li, B. Mersch, L. Wiesmann, J. Gall, J. Behley, and C. Stachniss (2021) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data, IEEE Robotics and Automation Letters (RA-L) 6(4): pp. 6529-6536, 2021, https://dx.doi.org/10.1109/LRA.2021.3093567
Chen, X., T. Läbe, A. Milioto, T. Röhling, J. Behley, and C. Stachniss (2021) OverlapNet: A Siamese Network for Computing LiDAR Scan Similarity with Applications to Loop Closing and Localization, Autonomous Robots 2021, https://doi.org/10.1007/s10514-021-09999-0
Di Giammarino, L., I. Aloise, C. Stachniss, and G. Grisetti (2021) Visual Place Recognition using LiDAR Intensity Information, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/digiammarino2021iros.pdf
Dong, H., X. Chen, and C. Stachniss (2021) Online Range Image-based Pole Extractor for Long-term 3D LiDAR Localization in Urban Environments, Proceedings of the European Conference on Mobile Robots (ECMR), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/dong2021ecmr.pdf
Görlich, F., E. Marks, A. Mahlein, K. König, P. Lottes, and C. Stachniss (2021) UAV-Based Classification of Cercospora Leaf Spot Using RGB Images, Drones 5(2), https://doi.org/10.3390/drones5020034
Kuang, H., Y. Zhu, Z. Zhang, X. Li, J. Tighe, S. Schwertfeger, C. Stachniss, and M. Li (2021) Video Contrastive Learning with Global Context, in Proceedings of the International Conference on Computer Vission (ICCV) Workshop, 2021, pp. 3195-3204, https://openaccess.thecvf.com/content/ICCV2021W/CVEU/papers/Kuang_Video_Contrastive_Learning_With_Global_Context_ICCVW_2021_paper.pdf
Magistri, F., N. Chebrolu, J. Behley, and C. Stachniss (2021) Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/magistri2021icra.pdf
Mersch, B., T. Höllen, K. Zhao, C. Stachniss, and R. Roscher (2021) Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mersch2021iros.pdf
Mersch, B., X. Chen, J. Behley, and C. Stachniss (2021) Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks, Proc. of the Conf. on Robot Learning (CoRL) https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mersch2021corl.pdf
Peters, L., D. Fridovich-Keil, V. Rubies-Royo, C. J. Tomlin, and C. Stachniss (2021) Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations, Proceedings of Robotics: Science and Systems (RSS), 2021,https://arxiv.org/pdf/2106.03611.pdf
Peters, L., D. Fridovich-Keil, V. Rubies-Royo, C. J. Tomlin, and C. Stachniss (2021) Cost Inference in Smooth Dynamic Games from Noise-Corrupted Partial State Observations, Proceedings of the RSS Workshop on Social Robot Navigation, 2021, https://socialrobotnavigation.github.io/papers/paper13.pdf
Pretto, A. S. Aravecchia, W. Burgard, N. Chebrolu, C. Dornhege, T. Falck, F. Fleckenstein, A. Fontenla, M. Imperoli, R. Khanna, F. Liebisch, P. Lottes, A. Milioto, D. Nardi, S. Nardi, J. Pfeifer, M. Popovic, C. Potena, C. Pradalier, C. Stachniss et. al. (2021) Building an Aerial-Ground Robotics Systemfor Precision Farming: An Adaptable Solution, IEEE Robotics & Automation Magazine 28(3), pp. 29 - 49 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/pretto2021ram.pdf
Reinke, A., X. Chen, and C. Stachniss (2021) Simple But Effective Redundant Odometry for Autonomous Vehicles, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/reinke2021icra.pdf
Rottmann, P., T. Posewsky, A. Milioto, C. Stachniss, and J. Behley (2021) Improving Monocular Depth Estimation by Semantic Pre-training, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2021 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/rottmann2021iros.pdf
Schunck, D., F. Magistri, R. A. Rosu, A. Cornelißen, N. Chebrolu, S. Paulus, J. Léon, S. Behnke, C. Stachniss, H. Kuhlmann, and L. Klingbeil (2021) Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis, PLOS ONE 16(8), pp. 1-18 https://doi.org/10.1371/journal.pone.0256340
Shi, C., X. Chen, K. Huang, J. Xiao, H. Lu, and C. Stachniss (2021) Keypoint Matching for Point Cloud Registration using Multiplex Dynamic Graph Attention Networks, IEEE Robotics and Automation Letters (RA-L), 2021, http://www.ipb.uni-bonn.de/pdfs/shi2021ral-iros.pdf
Stache, F., J. Westheider, F. Magistri, M. Popović, and C. Stachniss (2021) Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation, Proceedings of the European Conference on Mobile Robots (ECMR), 2021, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/stache2021ecmr.pdf
Stachniss, C. (2021) Achievements Needed for Becoming a Professor, Academia Letters 281, https://dx.doi.org/10.20935/AL281
Vizzo, I., X. Chen, N. Chebrolu, J. Behley, and C. Stachniss (2021) Poisson Surface Reconstruction for LiDAR Odometry and Mapping, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2021. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2021icra.pdf
Weyler, J., A. Milioto, T. Falck, J. Behley, and C. Stachniss (2021) Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping, IEEE Robotics and Automation Letters (RA-L), vol. 6, pp. 3599-3606, https://dx.doi.org/10.1109/LRA.2021.3060712
Wiesmann, L., A. Milioto, X. Chen, C. Stachniss, and J. Behley (2021) Deep Compression for Dense Point Cloud Maps, IEEE Robotics and Automation Letters (RA-L) 6(2): pp. 2060-2067, https://dx.doi.org/10.1109/LRA.2021.3059633
Zhou, M., X. Chen, N. Samano, C. Stachniss, and A. Calway, (2021) Efficient Localisation Using Images and OpenStreetMaps, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2021 https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zhou2021iros.pdf

A. Pretto, S. Aravecchia, W. Burgard, N. Chebrolu, C. Dornhege, T. Falck, F. Fleckenstein, A. Fontenla, M. Imperoli, R. Khanna, F. Liebisch, P. Lottes, A. Milioto, D. Nardi, S. Nardi, J. Pfeifer, M. Popovic, C. Potena, C. Pradalier, E. Rothacker-Feder, I. (2020) Building an Aerial-Ground Robotics Systemfor Precision Farming, IEEE Robotics & Automation Magazine, 2020. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/pretto2020ram.pdf
Ahmadi, A., L. Nardi, N. Chebrolu, and C. Stachniss (2020) Visual Servoing-based Navigation for Monitoring Row-Crop Fields, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2020, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/ahmadi2020icra.pdf
Behley J., A. Milioto, and C. Stachniss (2020) A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI, arXiv Preprint, 2020, http://arxiv.org/pdf/2003.02371v1
Chebrolu, N., T. Laebe and C. Stachniss (2020) Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chebrolu2020icra.pdf
Chen, X., T. Läbe, A. Milioto, T. Röhling, O. Vysotska, A. Haag, J. Behley, and C. Stachniss (2020) OverlapNet: Loop Closing for LiDAR-based SLAM, Proceedings of Robotics: Science and Systems (RSS), 2020. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chen2020rss.pdf
Chen, X., T. Läbe, L. Nardi, J. Behley, and C. Stachniss (2020) Learning an Overlap-based Sensor Model for 3D LiDAR Localization, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chen2020iros.pdf
Förstner, W. (2020) Symmetric Least Squares Matching – Sym-LSM, Institut für Photogrammetrie, Universität Bonn 2020. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/foerstner2020report-sym-lsm.pdf
Gogoll, D., P. Lottes, J. Weyler, N. Petrinic, and C. Stachniss (2020) Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/gogoll2020iros.pdf
Langer, F., A. Milioto, A. Haag, J. Behley, and C. Stachniss (2020) Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/langer2020iros.pdf
Lottes, P., J. Behley, N. Chebrolu, A. Milioto, and C. Stachniss (2020) Robust joint stem detection and crop‐weed classificationusing image sequences for plant‐specific treatment inprecision farming, Journal of Field Robotics 37(1): 20–34, https://doi.org/10.1002/rob.21901
Magistri, F., N. Chebrolu, and C. Stachniss (2020) Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020.https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/magistri2020iros.pdf
Milioto, A., J. Behley, C. McCool, and C. Stachniss (2020) LiDAR Panoptic Segmentation for Autonomous Driving, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020. https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/milioto2020iros.pdf
Nardi, l., and C. Stachniss (2020) Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2020, https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/nardi2020icra.pdf
Quenzel, J., R. A. Rosu, T. Laebe, C. Stachniss, and S. Behnke (2020) Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020, http://www.ipb.uni-bonn.de/pdfs/quenzel2020icra.pdf
Regier, P., A. Milioto, C. Stachniss, and M. Bennewitz (2020) Classifying Obstacles and Exploiting Class Information for Humanoid Navigation Through Cluttered Environments, The Int. Journal of Humanoid Robotics (IJHR), vol. 17 iss 2, p. 2050013, 2020. https://doi.org/10.1142/S0219843620500139
Sheikh, R., A. Milioto, P. Lottes, C. Stachniss, M. Bennewitz, and T. Schultz (2020) “Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020,https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/sheikh2020icra.pdf
Wu, X., S. Aravecchia, P. Lottes, C. Stachniss, and C. Pradalier (2020) Robotic Weed Control Using Automated Weed and Crop Classification, Journal of Field Robotics, Vol. 37, p. 322-340, https://doi.org/10.1002/rob.21938

Behley, J., M. Garbade, A. Milioto, J. Quenzel, S. Behnke, C. Stachniss, and J. Gall, (2019) SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences, Proceedings if the IEEE/CVS International Conference on Computer Vision (ICCV), 2019
Chebrolu, N., P. Lottes, T. Laebe, and C. Stachniss (2019) Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019: p. 1788 - 1793
Chen, X., A. Milioto, E. Palazzolo, P. Giguère, J. Behley, and C. Stachniss (2019) SuMa++: Efficient LiDAR-based Semantic SLAM, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), China, 2019: p. 4530 - 4537
Huang, K. and C. Stachniss (2019) Accurate Direct Visual-Laser Odometry with Explicit Occlusion Handling and Plane Detection, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019: p.1295 - 1301
Klingbeil, L., E. Heinz, M. Wieland, J. Eichel, T. Läbe, and H. Kuhlmann (2019) On the UAV based Analysis of Slow Geomorphological Processes: A Case Study at a Solifluction Lobe in the Turtmann Valley, Proceedings of the 4th Joint International Symposium on Deformation Monitoring (JISDM) , 2019
Lottes, P., N. Chebrolu, F. Liebisch, and C. Stachniss (2019) UAV-based Field Monitoring for Precision Farming, Proceedings of the 25th Workshop für Computer-Bildanalyse und unbemannte autonom fliegende Systeme in der Landwirtschaft
Milioto, A. and C. Stachniss (2019) Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019: p. 7094 - 7100
Milioto, A., I. Vizzo, J. Behley, and C. Stachniss (2019) RangeNet++: Fast and Accurate LiDAR Semantic Segmentation, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), China, 2019: p. 4530 - 4537
Milioto, A., L. Mandtler, and C. Stachniss, (2019) Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019: p. 5481 - 5487
Nardi, L. and C. Stachniss (2019) Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019: p. 4104 - 4110
Nardi, L. and C. Stachniss (2019) Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs , Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019: p. 5780 - 5786
Palazzolo, E., J. Behley, P. Lottes, P. Giguère, and C. Stachniss (2019) ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , China, 2019: p. 7855 - 7862
Schirmer, R., P. Bieber, and C. Stachniss (2019) Coverage Path Planning in Belief Space, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019: p. 7605 - 7610
Vysotska, O. and C. Stachniss (2019) Effective Visual Place Recognition Using Multi-Sequence Maps, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019 and IEEE Robotics and Automation Letters (RA-L) 4(2): p. 1730 - 1736
Vysotska, O., H. Kuhlmann, and C. Stachniss (2019) UAVs Towards Sustainable Crop Production, Workshop at Robotics: Science and Systems , 2019
Wilbers, D., C. Merfels and C. Stachniss (2019) Localization with Sliding Window Factor Graphs on Third-Party Maps for Automated Driving, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Canada, 2019: p. 5951 - 5957
Wilbers, D., C. Merfels, and C. Stachniss (2019) A Comparison of Particle Filter and Graph-based Optimization for Localization with Landmarks in Automated Vehicles, Proceedings of the IEEE International Conference on Robotic Computing (IRC), 2019
Wilbers, D., L. Rumberg and C. Stachniss (2019) Approximating Marginalization with Sparse Global Priors for Sliding Window SLAM-Graphs, Proceedings of the IEEE International Conference on Robotic Computing (IRC), 2019
Yan. F., O. Vysotska, and C. Stachniss (2019) Global Localization on OpenStreetMap Using 4-bit Semantic Descriptors, Proceedings of the European Conference on Mobile Robots (ECMR) , 2019
Zabawa, L., A. Kicherer, L. Klingbeil, A. Milioto, R. Topfer, H. Kuhlmann, and R. Roscher (2019) Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , 2019

Behley, J. and C. Stachniss (2018) Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments, Proceedings of Robotics: Science and Systems (RSS)
Bogoslavskyi, I. (2018) Robot Mapping and Navigation in Real-World Environments, PhD Thesis, 2018
Chebrolu, N., T. Läbe, and C. Stachniss (2018) Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture, Proceedings of the IEEE Int. Conf. on Robotics and Automation (ICRA). 2018 and Robotics and Automation Letters, 3(4): 3097-3104
Della Corte, B., I. Bogoslavskyi, C. Stachniss, and G. Grisetti (2018) A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2018
Franz, K., R. Roscher, A. Milioto, S. Wenzel, and J. Kusche (2018) Ocean Eddy Identification and Tracking using Neural Networks, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , 2018
Huang, K. H. and C. Stachniss (2018) On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2018
Huang, K. H. and C. Stachniss (2018) Joint Ego-motion Estimation Using a Laser Scanner and a Monocular Camera Through Relative Orientation Estimation and 1-DoF ICP, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) , 2018
Huang, Kaihong (2018) Extrinsic Calibration and Ego-Motion Estimation for Mobile Multi-Sensor Systems, PhD Thesis http://hss.ulb.uni-bonn.de/2018/5309/5309.htm
Jung, J., C. Stachniss, S. Ju, and J. Heo (2018) Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM, Advanced Engineering Informatics 38: p. 811-825
Langer, F., L. Mandtler, A. Milioto, E. Palazzolo and C. Stachniss (2018) Geometrical Stem Detection from Image Data for Precision Agriculture, WSEAS Transactions on Systems 17: 253-258
Lottes, P., J. Behley, A. Milioto, and C. Stachniss (2018) Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming, Proceedings of the IEEE Int. Conf. on Robotics and Automation (ICRA). 2018 andIEEE Robotics and Automation Letters, 3(4): 2870-2877
Lottes, P., J. Behley, N. Chebrolu, A. Milioto, and C. Stachniss (2018) Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) , 2018
Merfels, C. (2018) Sensor fusion for localization of automated vehicles, PhD Thesis, 2018
Milioto, A. and C. Stachniss (2018) Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs, ArXiv e-prints, 2018
Milioto, A., P. Lottes, and C. Stachniss (2018) Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2018
Nardi, L. and C. Stachniss (2018) Towards Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs, 10th Workshop on Planning, Perception and Navigation for Intelligent Vehicles at the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) , 2018
Naseer, T., W. Burgard, and C. Stachniss (2018) Robust Visual Localization Across Seasons, IEEE Transactions on Robotics 34(2): 289-302
Palazzolo, E. and C. Stachniss (2018) Fast Image-Based Geometric Change Detection Given a 3D Model, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2018
Palazzolo, E. and C. Stachniss (2018) Effective Exploration for MAVs Based on the Expected Information Gain, Drones 2(1): 9
Regier, P., A. Milioto, P. Karkowski, C. Stachniss and M. Bennewitz (2018) Classifying Obstacles and Exploiting Knowledge about Classes for Efficient Humanoid Navigation, Proceedings of the IEEE International Conference on Humanoid Robots 2018
Sa, I., M. Popovic, R. Khanna, Z. Chen, P. Lottes, F. Liebisch, J. Nieto, C. Stachniss, and R. Siegwart (2018) WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming, Remote Sensing 10(9): 1423
Walter, A., R. Khanna, P. Lottes, C. Stachniss, R. Siegwart, J. Nieto, and F. Liebisch (2018) Flourish – A robotic approach for automation in crop management, Proceedings of the Intl. Conference on Precision Agriculture (ICPA) , 2018

A. Bettge, R. Roscher, and S. Wenzel (2017) Deep self-taught learning for remote sensing image classification, Proceedings Conference on Big Data from Space
A. Braakmann-Folgmann, R. Roscher, S. Wenzel, B. Uebbing, and J. Kusche (2017) Sea level anomaly prediction using recurrent neural networks, Proceedings of the Conference on Big Data from Space
A. Kicherer, K. Herzog, N. Bendel, H. Klück, A. Backhaus, M. Wieland, J. C. Rose, L. Klingbeil, T. Läbe, C. Hohl, W. Petry, H. Kuhlmann, U. Seiffert, and R. Töpfer (2017) Phenoliner: A New Field Phenotyping Platform for Grapevine Research, Sensors, Vol. 17, Issue 7
A. Milioto, P. Lottes, and C. Stachniss (2017) Real-time Blob-wise Sugar Beets vs Weeds Classification for Monitoring Fields using Convolutional Neural Networks, Proceedings of the ISPRS Conference on Unmanned Aerial Vehicles in Geomatics (UAV-g)
Bogoslavskyi, Igor and Stachniss, Cyrill (2017) Efficient Online Segmentation for Sparse 3D Laser Scans, PFG -- Journal of Photogrammetry, Remote Sensing and Geoinformation Science, pages 1-12
Ch. Beekmans, J. Schneider, T. Laebe, M. Lennefer, C. Stachniss, C. Simmer (2017) 3D-Cloud Morphology and Motion from Dense Stereo for Fisheye Cameras, In Proceedings of the European Geosciences Union General Assembly (EGU)
D. Bulatov, S. Wenzel, G. Häufel, and J. Meidow (2017) Chain-Wise Generalization of Road Nerworks Using Model Selection, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences , pp. 59-66
E. Palazzolo and C. Stachniss (2017) Information-Driven Autonomous Exploration for a Vision-Based MAV, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Science
E. Palazzolo and C. Stachniss (2017) Change Detection in 3D Models Based on Camera Images, 9th Workshop on Planning, Perception and Navigation for Intelligent Vehicles at the IEEE Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
F. Liebisch, M. Popovic , J. Pfeifer , R. Khanna , P. Lottes, C. Stachniss, A. Pretto, S. In Kyu, J. Nieto, R. Siegwart, A. Walter (2017) Automatic UAV-based field inspection campaigns for weeding in row crops, In Proceedings of the 10th EARSeL SIG Imaging Spectroscopy Workshop
I. Bogoslavskyi and C. Stachniss (2017) Analyzing the Quality of Matched 3D Point Clouds of Objects, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
J. Jung and C. Stachniss and C. Kim (2017) Automatic room segmentation of 3D laser data using morphological processing, ISPRS International Journal of Geo-Information
J. Jung, C. Stachniss, and C. Kim (2017) Automatic room segmentation of 3D laser data using morphological processing, ISPRS International Journal of Geo-Information
J. Rosentreter, R. Hagensieker, A. Okujeni, R. Roscher, and B. Waske (2017) Sub-pixel mapping of urban areas using EnMAP data and multioutput support vector regression, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
J. Schneider, C. Stachniss, and W. Förstner (2017) On the Quality and Efficiency of Approximate Solutions to Bundle Adjustment with Epipolar and Trifocal Constraints, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
K. H. Huang and C. Stachniss (2017) Extrinsic Multi-Sensor Calibration For Mobile Robots Using the Gauss-Helmert Model, in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
L. Nardi and C. Stachniss (2017) User Preferred Behaviors for Robot Navigation Exploiting Previous Experiences, Robotics and Autonomous Systems
Merfels, C. and Stachniss, C. (2017) Sensor Fusion for Self-Localisation of Automated Vehicles, Photogrammetrie, Fernerkundung, Geoinformation PFG
N. Chebrolu, P. Lottes, A. Schaefer, W. Winterhalter, W. Burgard, and C. Stachniss (2017) Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields, The International Journal of Robotics Research
O. Vysotska and C. Stachniss (2017) Relocalization under Substantial Appearance Changes using Hashing, 9th Workshop on Planning, Perception and Navigation for Intelligent Vehicles at the IEEE Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
P. Lottes and C. Stachniss (2017) Semi-Supervised Online Visual Crop and Weed Classification in Precision Farming Exploiting Plant Arrangement, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
P. Lottes, R. Khanna, J. Pfeifer, R. Siegwart ,C. Stachniss (2017) UAV-Based Crop and Weed Classification for Smart Farming, Proccedings International Conference on Robotics and Automation
R. Roscher, L. Drees, and S. Wenzel (2017) Sparse representation-based archetypal graphs for spectral clustering, IEEE International Geoscience and Remote Sensing Symposium
R. Schirmer, P. Biber, and C. Stachniss (2017) Efficient Path Planning in Belief Space for Safe Navigation, in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
R. Schirmer, P. Biber, and C. Stachniss (2017) Efficient Path Planning in Belief Space for Safe Navigation, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
Vysotska, O. and Stachniss, C. (2017) Improving SLAM by Exploiting Building Information from Publicly Available Maps and Localization Priors, Photogrammetrie, Fernerkundung, Geoinformation PFG
W. Förstner and K. Khoshelham (2017) Efficient and Accurate Registration of Point Clouds with Plane to Plane Correspondences, 3rd International Workshop on Recovering 6D Object Pose

B. Franke, J. Plante, R. Roscher, A. Lee, C. Smyth, A. Hatefi, F. Chen, E. Gil, A. Schwing, A. Selvitella, M. M. Hoffman, R. Grosse, D. Hendricks, and N. Reid (2016) Statistical Inference, Learning and Models in Big Data, International Statistical Review
B. Mack, R. Roscher, S. Stenzel, H. Feilhauer, S. Schmidtlein, and B. Waske (2016) Mapping raised bogs with an iterative one-class classification approach, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 120, pp. 53-64
C. Siedentop and V. Laukhart and B. Krastev and D. Kasper and A. Wenden and G. Breuel and C. Stachniss (2016) Autonomous Parking Using Previous Paths, Advanced Microsystems for Automotive Applications 2015: Smart Systems for Green and Automated Driving. Lecture Notes in Mobility
C.Stachniss; S. Thrun; J.J. Leonard (2016) Simultaneous Localization and Mapping, Springer Handbook of Robotics
Ch. Beekmans and J. Schneider and T. Laebe and M. Lennefer and C. Stachniss and C. Simmer (2016) Cloud Photogrammetry with Dense Stereo for Fisheye Cameras, Atmospheric Chemistry and Physics vol. 16 pp.14231-14248
Christian Merfels and Cyrill Stachniss (2016) Pose Fusion with Chain Pose Graphs for Automated Driving, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016)
D. Perea-Ström, I. Bogoslavskyi, and C. Stachniss (2016) Robust Exploration and Homing for Autonomous Robots, Robotics and Autonomous Systems
F. Liebisch, J. Pfeifer, R. Khanna, P. Lottes, C. Stachniss, T. Falck, S. Sander, R. Siegwart, A. Walter, and E. Galceran (2016) Flourish — A robotic approach for automation in crop management, Proceedings of the Workshop für Computer-Bildanalyse und unbemannte autonom fliegende Systeme in der Landwirtschaft, Wernigerode
I. Bogoslavskyi and C. Stachniss (2016) “Fast Range Image-Based Segmentation of Sparse 3D Laser Scans for Online Operation, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
I. Bogoslavskyi, M. Mazuran, C. Stachniss (2016) Robust Homing for Autonomous Robots, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA)
J. Schneider, C. Eling, L. Klingbeil, H. Kuhlmann, W. Förstner, and C. Stachniss (2016) Fast and Effective Online Pose Estimation and Mapping for UAVs, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2016, pp. 4784-4791
J. Schneider, C. Stachniss, and W. Förstner (2016) Dichtes Stereo mit Fisheye-Kameras, UAV 2016 — Vermessung mit unbemannten Flugsystemen , 2016, pp. 247-264
J. Schneider, C. Stachniss, and W. Förstner (2016) On the Accuracy of Dense Fisheye Stereo, IEEE Robotics and Automation Letters (RA-L)and IEEE International Conference on Robotics & Automation (ICRA), vol. 1, iss. 1, pp. 227-234
L. Nardi and C. Stachniss (2016) Experience-Based Path Planning for Mobile Robots Exploiting User Preferences, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
N. Abdo, C. Stachniss, L. Spinello, W. Burgard (2016) Organizing Objects by Predicting User Preferences Through Collaborative Filtering, The International Journal of Robotics Research
O. Vysotska and C. Stachniss (2016) Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes, IEEE Robotics and Automation Letters (RA-L)and IEEE International Conference on Robotics & Automation (ICRA)
O. Vysotska and C. Stachniss (2016) Exploiting Building Information from Publicly Available Maps in Graph-Based SLAM, Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
P. Lottes, M. Hoeferlin, S. Sander, M. Müter, P. Schulze-Lammers, and C. Stachniss (2016) An Effective Classification System for Separating Sugar Beets and Weeds for Precision Farming Applications, Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA)
P. Lottes, M. Hörferlin, S. Sander, and C. Stachniss (2016) Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming, Journal of Field Robotics, 2016
R. Roscher, J. Behmann, A. -K. Mahlein, and L. Plümer (2016) On the Benefit of Topographic Dictionaries for Detecting Disease Symptoms on Hyperspectral 3D Plant Models, Workshop on Hyperspectral Image and Signal Processing
R. Roscher, J. Behmann, A. -K. Mahlein, J. Dupuis, H. Kuhlmann, and L. Plümer (2016) Detection of Disease Symptoms on Hyperspectral 3D Plant Models, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences , 2016, pp. 89-96
R. Roscher, S. Wenzel, and B. Waske (2016) Discriminative Archetypal Self-taught Learning for Multispectral Landcover Classification, Proceedings of Pattern Recogniton in Remote Sensing 2016 (PRRS), Workshop at ICPR
S. Osswald, M. Bennewitz, W. Burgard, and C. Stachniss (2016) Speeding-Up Robot Exploration by Exploiting Background Information, IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics & Automation (ICRA)
S. Wenzel and W. Förstner (2016) Facade Interpretation Using a Marked Point Process, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences , 2016, pp. 363-370
T. Schubert, S. Wenzel, R. Roscher, and C. Stachniss (2016) Investigation of Latent Traces Using Infrared Reflectance Hyperspectral Imaging, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences , 2016, pp. 97-102.
W. Förstner (2016) A Future for Learning Semantic Models of Man-Made Environment, Proc. of Int. Conf. on Pattern Recognition (ICPR)

Daniel Perea Ström, Fabrizio Nenci, Cyrill Stachniss (2015) Predictive Exploration Considering Previously Mapped Environments, Proceedings of the IEEE Int. Conference on Robotics and Automation (ICRA) , pp. 2761-2766
F.M. Carlucci, L. Nardi, L. Iocchi, D. Nardi (2015) Explicit Representation of Social Norms for Socila Robots, Proceedings of the IEEE Int. Conference on Intelligent Robots and Systems (IROS)
Igor Bogoslavskyi, Luciano. Spinello, Wolfram Burgard, Cyrill Stachniss (2015) Where to Park? Minimizing the Expected Time to Find a Parking Space, Proceedings of the IEEE Int. Conference on Robotics and Automation (ICRA), pp.2147-2152
Nichola Abdo, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard (2015) Robot, Organize my Shelves! Tidying up Objects by Predicting User Preferences, Proceedings of the IEEE Int. Conference on Robotics and Automation (ICRA) pp.1557-1564
Olga Vysotska, Cyrill Stachniss (2015) Lazy Sequences Matching Under Substantial Appearance Changes, Workshop on Visual Place Recognition in Changing Environments at the IEEE Int.Conference on Robotics and Automation (ICRA)
Olga Vysotska, Tayyeb Naseer, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss (2015) Efficient and Effective Matching of Image Sequences Under Substantial Appearance Changes Exploiting GPS Prior, Proceedings of the IEEE Int. Conference on Robotics and Automation (ICRA), pp.2774-2779

Barbara Frank, Cyrill Stachniss, Rüdiger Schmedding, Matthias Teschner, Wolfram Burgard (2014) Learning object deformation models for robot motion planning, Robotics and Autonomous Systems, Vol.62, Issue 8, pp. 1153-1174
Cyrill Stachniss, Wolfram Burgard (2014) Particle Filters for Robot Navigation, Foundations and Trends in Robotics Vol 3 , pp.211-282
Fabrizio Nenci, Luciano Spinello,Cyrill Stachniss (2014) Effective Compression of Range Data Streams for Remote Robot Operations using H.264, In Proc. of the IEEE/RSJ International Confernece on Intelligent Robots and Systems (IROS)
Johannes Schneider; Thomas Läbe; Wolfgang Förstner (2014) Real-Time Bundle Adjustment with an Omnidirectional Multi-Camera System and GPS, Proceedings of the 4th International Conference on Machine Control & Guidance., pp. 98-103
Katja Herzog ; Ribana Roscher; Markus Wieland; Anna Kicherer; Thomas Läbe; Wolfgang Förstner; Heiner Kuhlmann, Reinhard Töpfer (2014) Initial steps for high-throughput phenotyping in vineyards, VITIS - Journal of Grapevine Research, Vol 53, pp.1-8
Lasse Klingbeil, Matthias Nieuwenhuisen, Johannes Schneider, Christian Eling, David Droeschel, Dirk Holz, Thomas Läbe, Wolfgang Förstner, Sven Behnke, Heiner Kuhlmann (2014) Towards Autonomous Navigation of an UAV-based Mobile Mapping System, 4th International Conference on Machine Control & Guidance pp.136-147
Mladen Mazuran, Gian Diego Tipaldi, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss (2014) A Statistical Measure for Map Consistency in SLAM, Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong
Nichola Abdo, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss (2014) Inferring What to Imitate in Manipulation Actions by Using a Recommender System, Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong
Olga Vysotska, Barbara Frank, Istvan Ulbert, Oliver Paul, Patrick Ruther, Cyrill Stachniss, Wolfram Burgard (2014) Automatic Channel Selection and Neural Signal Estimation across Channels of Neural Probes, Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pratik Agarwal, Giorgio Grisetti, Gian Diego Tipaldi, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss (2014) Experimental Analysis of Dynamic Covariance Scaling for Robust Map Optimization Under Bad Initial Estimates, Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong
Pratik Agarwal, Wolfram Burgard, and Cyrill Stachniss (2014) A Survey of Geodetic Approaches to Mapping and the Relationship to Graph-Based SLAM, IEEE Robotics and Automation Magazine, Vol 21, Issue 3, pp. 63-80
Pratik Agarwal, Wolfram Burgard, Cyrill Stachniss (2014) Helmert's and Bowie's Geodetic Mapping Methods and Their Relation to Graph-Based SLAM, Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong
Rainer Kümmerle, Michael Ruhnke, Bastian Steder, Cyrill Stachniss, Wolfram Burgard (2014) Autonomous Robot Navigation in Highly Populated Pedestrian Zones, Journal of Field Robotics, published online: 8 SEP 2014
Seigo Ito, Felix Endres, Markus Kuderer, Gian Diego Tipaldi, Cyrill Stachniss, Wolfram Burgard (2014) W-RGB-D: Floor-Plan-Based Indoor Global Localization Using a Depth Camera and WiFi, Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong
Stefan Osswald, Henrik Kretzschmar, Wolfram Burgard, Cyrill Stachniss (2014) Learning to Give Route Directions from Human Demonstrations, Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong
Tayyab Naseer, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss (2014) Robust Visual Robot Localization Across Seasons using Network Flows, Proc. of the Conference on the Association for the Advancement of Artificial Intelligence (AAAI) Quebec, Canada
Ziparo, V.A. and Castelli, G. and Van Gool, L. and Grisetti, G. and Leibe, B. and Proesmans, M. and Stachniss, C.}, (2014) The ROVINA Project. Robots for Exploration, Digital Preservation and Visualization of Archeological sites, Proceedings of the 18th ICOMOS General Assembly and Scientific Symposium

Dickscheid,Timo / Förstner, Wolfgang (2013) A Trainable Markov Random Field for Low-Level Image Feature Matching with Spatial Relationships, Photogrammetrie, Fernerkundung, Geoinformation (PFG). Vol. 4, pp. 269-284
Förstner, Wolfgang (2013) Graphical Models in Geodesy and Photogrammetry, Photogrammetrie, Fernerkundung, Geoinformation (PFG). Vol. 4, pp. 255-268
Förstner, Wolfgang (2013) Photogrammetrische Forschung - Eine Zwischenbilanz aus Bonner Sicht, Photogrammetrie, Fernerkundung, Geoinformation (PFG). Vol. 4, pp. 251-254
Kicherer, A. / Roscher.R. / Herzog,K. / Šimon,S. / Förstner,W. / Töpfer,R. (2013) BAT (Berry Analysis Tool): A high-throughput image interpretation tool to acquire the number, diameter, and volume of grapevine berries, Vitis. Vol. 52(3), pp. 129-135
Nieuwenhuisen, Matthias / Droeschel, David / Schneider, Johannes /Holz, Dirk /Läbe, Thomas / Behnke,Sven (2013) Multimodal Obstacle Detection and Collision Avoidance for Micro Aerial Vehicles, Proceedings of the 6th European Conference on Mobile Robots (ECMR)
Schindler, Falko / Förstner, Wolfgang (2013) DijkstraFPS: Graph Partitioning in Geometry and Image Processing, Photogrammetrie, Fernerkundung, Geoinformation (PFG). Vol. 4, pp. 285-296
Schneider, Johannes / Förstner, Wolfgang (2013) Bundle Adjustment and System Calibration with Points at Infinity for Omnidirectional Camera Systems, Photogrammetrie, Fernerkundung, Geoinformation (PFG). Vol. 4, pp. 309-321
Schneider, Johannes / Läbe, Thomas / Förstner, Wolfgang (2013) Incremental Real-time Bundle Adjustment for Multi-camera Systems with Points at Infinity, ISPRS Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XL-1/W2, pp. 355-360
Wenzel, Susanne / Förstner, Wolfgang (2013) Finding Poly-Curves of Straight Line and Ellipse Segments in Images, Photogrammetrie, Fernerkundung, Geoinformation (PFG). Vol. 4, pp. 297-308.

Förstner, Wolfgang (2012) Minimal Representations for Testing and Estimation in Projective Spaces, Zeitschrift f. Photogrammetrie, Fernerkundung und Geoinformation. Vol. 3, pp. 209-220
Roscher, Ribana / Förstner, Wolfgang / Waske,Björn (2012) I2VM: Incremental import vector machines, Image and Vision Computing May, 2012. Vol. 30(4-5), pp. 263-278
Roscher, Ribana / Waske, Björn / Förstner, Wolfgang (2012) Incremental Import Vector Machines for Classifying Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing
Schindler, Falko / Förstner, Wolfgang (2012) Real-time Camera Guidance for 3d Scene Reconstruction, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. I-3
Schneider, Johannes / Schindler, Falko / Läbe, Thomas / Förstner, Wolfgang (2012) Bundle Adjustment for Multi-camera Systems with Points at Infinity, In ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
Wenzel, Susanne / Förstner, Wolfgang (2012) Learning a compositional representation for facade object categorization, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences; Proc. of 22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS). Vol. I-3( 2012), pp. 197-202

Bauer, Sabine / Korc, Filip / Förstner, Wolfgang (2011) The Potential of Automatic Methods of Classification to identify Leaf Diseases from Multispectral Images, Precision Agriculture, Vol.12, Nr. 3, pp. 361-377
Dickscheid, Timo / Schindler, Falko / Förstner, Wolfgang (2011) Coding Images with Local Features, International Journal of Computer Vision ,94.Jahrgang, Heft 2, pp.154-174
Schindler, Falko / Förstner, Wolfgang (2011) Fast Marching for Robust Surface Segmentation, Lecture Notes in Computer Science, Vol.6952, Photogrammetric Image Analysis, S. 147-158
Schindler, Falko / Förstner, Wolfgang / Frahm, Jan-Michael (2011) Classification and Reconstruction of Surfaces from Point Clouds of Man-made Objects, ICCV Workshop on Computer Vision for Remote Sensing of the Environment, Barcelona , pp. 257-263
Schmeing, Benno / Läbe, Thomas / Förstner, Wolfgang (2011) Trajectory Reconstruction Using Long Sequences of Digital Images from an Omnidirectional Camera, Proceedings of the 31th DGPF Conference (Jahrestagung), Mainz , pp. 443-452
Schneider, Johannes / Schindler, Falko / Förstner, Wolfgang (2011) Bündelausgleichung für Multikamerasysteme, Proceedings of the 31th DGPF Conference (Jahrestagung), Mainz, pp. 119-127
Siegemund, Jan / Franke, Uwe / Förstner, Wolfgang (2011) A Temporal Filter Approach for Detection and Reconstruction of Curbs and Road Surfaces based on Conditional Random Fields, Intelligent Vehicles Symposium IV, Baden-Baden, S. 637-642
Yang, Michael Ying / Cao, Yanpeng / McDonald, John (2011) Fusion of Camera Images and Laser Scans for Wide Baseline 3D Scene Alignment in Urban Environments, ISPRS Journal of Photogrammetry and Remote Sensing, 66. Jahrgang, Heft 6 Supplement, pp. S52-S61
Yang, Michael Ying / Förstner, Wolfgang (2011) A Hierarchical Conditional Random Field Model for Labeling and Classifying Images of Man-made Scenes, Schindler, Konrad / Förstner, Wolfgang / Paparoditis, Nicolas (Hrsg.):ICCV Workshop on Computer Vision for Remote Sensing of the Environment, Barcelona, pp. 196-203
Yang, Michael Ying / Förstner, Wolfgang (2011) Regionwise Classification of Building Facade Images, Stilla; Uwe / Rottensteiner, Franz / Mayer, H. /Jutzi, Boris / Butenuth, Matthias (Hrg.): Photogrammetric Image Analysis, München, pp. 209-220

Barth, Alexander / Franke, Uwe (2010) Tracking Oncoming and Turning Vehicles at Intersections, Proceedings of the 13th Intern. IEEE Conference on Intelligent Transportation Systems, 2010, S. 861-868
Barth, Alexander / Siegemund, Jan / Meißner, Annemarie / Franke, Uwe / Förstner, Wolfgang (2010) Probabilistic Multi-class Scene Flow Segmentation for Traffic Scenes, 32nd Annual Symposium of the German Association for Pattern Recognition (DAGM). Darmstadt, Germany 2010, S. 503-512.
Förstner, Wolfgang (2010) Minimal Represenations for Uncertainty and Estimation in Projective Spaces, Proceedings of the Asian Conference on Computer Vision, Queenstown, New Zealand 2010, Part II, pp.619-633
Förstner; Wolfgang (2010) Optimal Vanishing Point Detection and Rotation Estimation of Single Images of a Legolandscene, Proceedings of the ISPRS Symposium Commission III PCV, Paris 2010, Part A, pp. 157-163
Korc, Filip / Schneider, David / Förstner, Wolfgang (2010) On Nonparametric Markov Random Field Estimation for Fast Automatic Segmentation of MRI Knee Data, Proceedings of the 4th Medical Image Analysis for the Clinic - A Grand Challende Workshop, MICCAI, Beijing 2010, pp.261-270
Muffert, Maximilian / Siegemund, Jan / Förstner, Wolfgang (2010) The estimation of spatial positions by using an omnidirectional camera system, Proceedings of the 2nd International Conference on Machine Control & Guidance S. 95-104
Roscher, Ribana / Schindler, Falko / Förstner, Wolfgang (2010) High Dimensional Correspondences from Low Dimensional Manifolds - An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms, 3rd International Workshop on Subspace Methods, in conjunction with ACCV 2010
Roscher, Ribana / Waske, Björn / Förstner, Wolfgang (2010) Kernel Discriminative Random Fields for Land Cover Classification, 6th IAPR Workshop on Pattern Recognition in Remote Sensing, Istanbul 2010, slides
Siegemund, Jan / Pfeiffer, David / Franke, Uwe / Förstner, Wolfgang (2010) Curb Reconstruction Using Conditional Random Fields, Proceedings Intelligent Vehicles Symposium IV , San Diego 2010, S. 203-210
Steffen, Richard / Frahm, Jan-Michael / Förstner, Wolfgang (2010) Relative Bundle Adjustment based on Trifocal Constraints, ECCV Workshop on Reconstruction and Modeling of Large-Scale 3D Virtual Environments, Heraklion 2010
Wenzel, Susanne / Hotz, Lothar (2010) The Role of Sequences for Incremental Learning, ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Valencia 2010
Yang, Michael Ying / Förstner, Wolfgang / Drauschke, Martin (2010) Hierarchical Conditional Random Field for Multi- class Image Classification, International Conference on Computer Vision Theory and Applications (VISAPP), 2010, S. 464-469