Track-to-Track Association Based on Modified Covariance Intersection for Multi-target Tracking-Reference-Cited by-同舟云学术

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Track-to-Track Association Based on Modified Covariance Intersection for Multi-target Tracking

Published:2023-11-27 Issue: Volume:26 Page:375-380
ISSN:
Container-title:2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)
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Author:

Cong Jinliang¹,Xu Benlian²,Lu Mingli¹,Shi Jian¹,Jiang Teng³,Li Yinya⁴,Gu Suhang¹,Sheng Andong⁴

Affiliation:

1. Changshu Institute of Technoloy,School of Electrical Engineering and Automation,Suzhou,China

2. Suzhou University of Science and Technology,School of Electronic and Information Engineering,Suzhou,China

3. Qufu Normal University,School of Mathematical Sciences,Qufu,China

4. Nanjing University of Science and Technology,School of Automation,Nanjing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10382256/10382242/10382361.pdf?arnumber=10382361

Reference26 articles.

1. Multitarget-Multisensor Tracking: Principles and Techniques;Bar-Shalom,1995

2. Sensor bias estimation for track-to-track association, IEEE Signal Processing;Tokta;Letters,2019

3. Tracking and Data Fusion, A Handbook of Algorithms;Bar-Shalom,2011

4. A survey of multisensor fusion techniques, architectures and methodologies

5. Correspondence processes in dynamic scene analysis

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