3D Multi-Object Tracking based on Two-Stage Data Association for Collaborative Perception Scenarios
Author:
Affiliation:
1. Osaka University,Graduate School of Information Science and Technology,Osaka,Japan
Funder
National Institute of Information and Communications Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186777.pdf?arnumber=10186777
Reference19 articles.
1. Kalman Filtering
2. Latency-Aware Collaborative Perception
3. Simple online and realtime tracking with a deep association metric
4. Comparison and evaluation of advanced motion models for vehicle tracking;schubert;Proc 11th Int Conf Information Fusion,2008
5. Where2comm: Communication-efficient collaborative perception via spatial confidence maps;hu;Proceedings of Thirty-sixth Conference on Neural Information Processing Systems (Neurips),2022
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