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Photogrammetrie / Photogrammetry

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  • 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 (RA-L) 7(3), pp. 6107-6114
     https://doi.org/10.1109/LRA.2022.3166544
  • 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 (RA-L), vol. 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,
    https://arxiv.org/pdf/2203.03397.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 (RA-L) 7(2), pp. 1550-1557.
     http://dx.doi.org/10.1109/LRA.2022.3140439
  • 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 (RA-L).
     https://doi.org/10.1109/LRA.2022.3142440
  • 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
  • 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)
    VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data
    Sensors 22(3), 1296
     https://doi.org/10.3390/s22031296
  • 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)
  • 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 (RA-L).
  • 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://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

 

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