3D Point Cloud-based Scene Understanding for Dynamic Large Scale Environment*
Author:
Affiliation:
1. Jiaotong University,Department of Beijing,Beijing,China,100044
2. Jiaotong University,Faculty of Beijing,Beijing,China,100044
3. Faculty of Sany Heavy Machinery Co., LTD,Kun Shan,China,215300
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10249208/10249018/10250112.pdf?arnumber=10250112
Reference23 articles.
1. Static-Map and Dynamic Object Reconstruction in Outdoor Scenes Using 3-D Motion Segmentation
2. SLAM in Dynamic Environments: A Deep Learning Approach for Moving Object Tracking Using ML-RANSAC Algorithm
3. A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry
4. IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation
5. Simultaneous Localization, Mapping and Moving Object Tracking
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