Multiple UAVs cooperative path planning based on dynamic bayesian network

Wenqiang Guo, Xiaoguang Gao, Qinkun Xiao

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

For the sake of higher level of autonomy, based on Dynamic Bayesian networks (DBNs), a novel awareness frame is proposed for achieving cooperative control of multiple unmanned aerial vehicles (UAVs) in dynamic environment. With learning and inference algorithms for DBNs, the awareness in dynamic environment could be accomplished using parameters' change in relative DBN's transition networks based on derived fusion signal sequences. A cooperative path optimization algorithm against pop-up threats is provided for multiple UAVs under this awareness frame, which exploits knowledge about the given problem, together with a simple but efficient form of coordination variable among independent UAVs. Learning and inference for this awareness DBN are also discussed. Simulation results demonstrating the feasibility of this approach are presented.

源语言英语
主期刊名Chinese Control and Decision Conference, 2008, CCDC 2008
2401-2405
页数5
DOI
出版状态已出版 - 2008
活动Chinese Control and Decision Conference 2008, CCDC 2008 - Yantai, Shandong, 中国
期限: 2 7月 20084 7月 2008

出版系列

姓名Chinese Control and Decision Conference, 2008, CCDC 2008

会议

会议Chinese Control and Decision Conference 2008, CCDC 2008
国家/地区中国
Yantai, Shandong
时期2/07/084/07/08

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