A centralised training algorithm with D3QN for scalable regular unmanned ground vehicle formation maintenance-Reference-Cited by-同舟云学术

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A centralised training algorithm with D3QN for scalable regular unmanned ground vehicle formation maintenance

Published:2021-02-26 Issue:4 Volume:15 Page:562-572
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET intell. transp. syst

Author:

Yuan Hao¹,Ni Jun¹^ORCID,Hu Jibin¹

Affiliation:

1. School of Mechanical Engineering Beijing Institute of Technology Beijing People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12046

Reference43 articles.

1. Autonomous road vehicles: recent issues and expectations

2. Cooperative bypassing algorithm for connected and autonomous vehicles in mixed traffic

3. Formation control of aerial robots using virtual structure and new fuzzy-based self-tuning synchronization

4. Decentralized behavior-based formation control of multiple robots considering obstacle avoidance

5. Leader–Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance

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