Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds
Author:
Affiliation:
1. Tsinghua University,Department of Automation,China
2. Beijing Academy of Artificial Intelligence,Beijing,China
Funder
National Key R&D Program of China
Institute for Guo Qiang, Tsinghua University
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160784.pdf?arnumber=10160784
Reference29 articles.
1. Auto-generated Wires Dataset for Semantic Segmentation with Domain-Independence
2. Let's take a walk on superpixels graphs: Deformable linear objects segmentation and model estimation;gregorio;Asian Conference on Computer Vision,0
3. Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
4. Keypoint-Based Planar Bimanual Shaping of Deformable Linear Objects Under Environmental Constraints With Hierarchical Action Framework
5. FASTDLO: Fast Deformable Linear Objects Instance Segmentation
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1. A Robust Deformable Linear Object Perception Pipeline in 3D: From Segmentation to Reconstruction;IEEE Robotics and Automation Letters;2024-01
2. TrackDLO: Tracking Deformable Linear Objects Under Occlusion With Motion Coherence;IEEE Robotics and Automation Letters;2023-10
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