PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation
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Robotics: Science and Systems Foundation
Cited by 30 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. Object Permanence Filter for Robust Tracking with Interactive Robots;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Resampling-free Particle Filters in High-dimensions;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. 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
4. Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos;2024 International Conference on 3D Vision (3DV);2024-03-18
5. Fast convergence network for target posetracking driven by synthetic data;Journal of Image and Graphics;2024
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