Thomas Läbe
Orcid: 0000-0003-4873-513X
According to our database1,
Thomas Läbe
authored at least 20 papers
between 2003 and 2024.
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Bibliography
2024
Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment.
IEEE Robotics Autom. Lett., October, 2024
IEEE Robotics Autom. Lett., February, 2024
PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics.
IEEE Robotics Autom. Lett., January, 2024
CoRR, 2024
2023
Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots.
IEEE Robotics Autom. Lett., June, 2023
IROS, 2023
2022
Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames.
IEEE Robotics Autom. Lett., 2022
OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization.
Auton. Robots, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
IEEE Robotics Autom. Lett., 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Proceedings of the Robotics: Science and Systems XVI, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields.
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture.
IEEE Robotics Autom. Lett., 2018
2017
2013
Proceedings of the 2013 European Conference on Mobile Robots, 2013
2003
Learning Optimal Parameters for Self-Diagnosis in a System for Automatic Exterior Orientation.
Proceedings of the Computer Vision Systems, Third International Conference, 2003