Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects-Reference-Cited by-同舟云学术

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Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects

Published:2024 Issue: Volume:72 Page:3669-3685
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Nguyen Hoa Van¹^ORCID,Vo Ba-Ngu¹^ORCID,Vo Ba-Tuong¹^ORCID,Rezatofighi Hamid²^ORCID,Ranasinghe Damith C.³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Curtin University, Bentley, WA, Australia

2. Department of Data Science & AI, Monash University, Clayton, VIC, Australia

3. School of Computer Science, The University of Adelaide, Adelaide, SA, Australia

Funder

Australian Research Council Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/78/10347386/10587163.pdf?arnumber=10587163

Cited by 2 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

1. Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. The Smooth Trajectory Estimator for LMB Filters;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27

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