CenterTube: Tracking Multiple 3D Objects With 4D Tubelets in Dynamic Point Clouds
Author:
Affiliation:
1. School of Electronics and Communication Engineering, The Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
2. Department of Computer Science, University of Oxford, U.K.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Shenzhen Science and Technology
Basic and Applied Basic Research Foundation of Guangdong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10016790/10034949.pdf?arnumber=10034949
Reference75 articles.
1. nuScenes: A Multimodal Dataset for Autonomous Driving
2. PointPillars: Fast Encoders for Object Detection From Point Clouds
3. Are we ready for autonomous driving? The KITTI vision benchmark suite
4. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
5. Simple online and realtime tracking with a deep association metric
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