6-DoF model-based tracking of arbitrarily shaped 3D objects
Author:
Affiliation:
1. Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany
2. Fraunhofer IOSB, Ettlingen, Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5967842/5979525/05979950.pdf?arnumber=5979950
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Test-time adaptation for 6D pose tracking;Pattern Recognition;2024-08
2. MOTPose: Multi-object 6D Pose Estimation for Dynamic Video Sequences using Attention-based Temporal Fusion;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23
4. Two‐stage 3D model‐based UAV pose estimation: A comparison of methods for optimization;Journal of Field Robotics;2020-01-23
5. World Model Representation;Cognitive Systems Monographs;2018-09-02
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