A Semantic-Guided LiDAR-Vision Fusion Approach for Moving Objects Segmentation and State Estimation
Author:
Affiliation:
1. Nantes Université, École Centrale de Nantes, LS2N, UMR 6004,Nantes,France,44000
Funder
China Scholarship Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922443.pdf?arnumber=9922443
Reference19 articles.
1. Remove, then revert: Static point cloud map construction using multiresolution range images;kim;Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems,0
2. SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds
3. Camera-Based Semantic Enhanced Vehicle Segmentation for Planar LIDAR
4. Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data
5. Mapping with Dynamic-Object Probabilities Calculated from Single 3D Range Scans
Cited by 2 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. SSF-MOS: Semantic Scene Flow Assisted Moving Object Segmentation for Autonomous Vehicles;IEEE Transactions on Instrumentation and Measurement;2024
2. Uncertainty-Aware Adaptive Semidirect LiDAR Scan Matching for Ground Vehicle Positioning;IEEE Sensors Journal;2023-06-01
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