GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker Without Bells and Whistles-Reference-Cited by-同舟云学术

GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker Without Bells and Whistles

Author:

Liu Jianan¹^ORCID,Bai Liping²,Xia Yuxuan³^ORCID,Huang Tao⁴^ORCID,Zhu Bing²^ORCID,Han Qing-Long⁵^ORCID

Affiliation:

1. Vitalent Consulting, Gothenburg, Sweden

2. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

3. Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden

4. College of Science and Engineering, James Cook University, Smithfield, QLD, Australia

5. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

Funder

National Natural Science Foundation of China

Vinnova, Traffic safety and Automated Vehicles - FFI

Australian Government through the Australian Research Council Discovery Projects Funding Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

Reference54 articles.

1. SimpleTrack: Understanding and rethinking 3D multi-object tracking;pang,2021

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