Vehicle Tracking Using Surveillance With Multimodal Data Fusion-Reference-Cited by-同舟云学术

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Vehicle Tracking Using Surveillance With Multimodal Data Fusion

Published:2018-07 Issue:7 Volume:19 Page:2353-2361
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhang Yue,Song Bin^ORCID,Du Xiaojiang^ORCID,Guizani Mohsen^ORCID

Funder

National Natural Science Foundation of China

ISN State Key Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/8400500/08267120.pdf?arnumber=8267120

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search;IEEE Robotics and Automation Letters;2024-05

3. An Interactively Motion-Assisted Network for Multiple Object Tracking in Complex Traffic Scenes;IEEE Transactions on Intelligent Transportation Systems;2024-02

4. CEFusion: An Infrared and Visible Image Fusion Network Based on Cross-Modal Multi-Granularity Information Interaction and Edge Guidance;IEEE Transactions on Intelligent Transportation Systems;2024

5. A comparative review on multi-modal sensors fusion based on deep learning;Signal Processing;2023-12

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