Interactive Multi-Scale Fusion of 2D and 3D Features for Multi-Object Vehicle Tracking-Reference-Cited by-同舟云学术

Interactive Multi-Scale Fusion of 2D and 3D Features for Multi-Object Vehicle Tracking

Published:2023-10 Issue:10 Volume:24 Page:10618-10627
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wang Guangming¹^ORCID,Peng Chensheng¹^ORCID,Gu Yingying²,Zhang Jinpeng³,Wang Hesheng¹^ORCID

Affiliation:

1. Department of Automation, Key Laboratory of System Control and Information Processing of Ministry of Education, Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education, Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai Jiao Tong University, Shanghai, China

2. Space Optoelectronic Measurement and Perception Laboratory, Beijing Institute of Control Engineering, Beijing, China

3. X Lab, Second Academy of China Aerospace Science and Industry Corporation, Beijing, China

Funder

Natural Science Foundation of China

Space Optoelectronic Measurement and Perception Laboratory, Beijing Institute of Control Engineering

Science and Technology Commission of Shanghai Municipality

Open Research Projects of Zhejiang Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10271405/10132881.pdf?arnumber=10132881

Reference47 articles.

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4. 3D Multi-Object Tracking in Point Clouds Based on Prediction Confidence-Guided Data Association

5. PointNet++: Deep hierarchical feature learning on point sets in a metric space;qi;Proc Int Conf Neural Inf Process Syst (NIPS),2017

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