Multi UAV Cooperative Reconnaissance Based on Dynamic Programming IDQN Algorithm

Jingyi Huang, Bo Li, Chao Song, Neretin Evgeny

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In this paper, multiple UAV cooperative reconnaissance tasks in complex environments are realized based on deep reinforcement learning. With the goal of quickly completing reconnaissance task allocation, safely avoiding obstacles and finally completing flight tasks, task allocation and trajectory planning are tightly coupled, and a multiple UAV cooperative reconnaissance algorithm based on dynamic programming multi-agent independent deep Q networks (IDQN) is proposed, Implemented collaborative reconnaissance task allocation and trajectory planning flight decision-making for multiple unmanned aerial vehicles in complex environments, and completed collaborative reconnaissance tasks for multiple unmanned aerial vehicles.

源语言英语
主期刊名ICCSI 2023 - 2023 International Conference on Cyber-Physical Social Intelligence
出版商Institute of Electrical and Electronics Engineers Inc.
227-232
页数6
ISBN(电子版)9798350312492
DOI
出版状态已出版 - 2023
活动2023 International Conference on Cyber-Physical Social Intelligence, ICCSI 2023 - Xi'an, 中国
期限: 20 10月 202323 10月 2023

出版系列

姓名ICCSI 2023 - 2023 International Conference on Cyber-Physical Social Intelligence

会议

会议2023 International Conference on Cyber-Physical Social Intelligence, ICCSI 2023
国家/地区中国
Xi'an
时期20/10/2323/10/23

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