Collision avoidance of multi unmanned aerial vehicles: A review |
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Affiliation: | 1. Temasek Lab., National University of Singapore, Singapore;2. Electrical and Computer Engineering, National University of Singapore, Singapore;1. CUCEI, Universidad de Guadalajara, Guadalajara C.P. 44430, Mexico;2. Frankfurt Institute for Advanced Studies, Ruth-Moufang-Strasse 1, Frankfurt am Main 60438, Germany;1. Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China;2. School of Automation, Northwestern Polytechnical University, Xi’an 710072, China |
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Abstract: | The control of a multiple unmanned aerial vehicle (UAV) system is popular and attracting a lot of attentions. This is motivated by many practical civil and commercial UAV applications. Collision avoidance is the fundamental in motion planning of multi-UAVs, especially for large teams of UAVs. Although several collision avoidance approaches have been reported, there is a lack of highlighting the key components shared by these approaches. In this work, we aim to provide researchers with a state-of-the-art overview of various approaches for multi-UAV collision avoidance. The existing works on collision avoidance are presented through several classifications based on algorithm used and frameworks designed, and their main features are also discussed. A discussion on the literature summary in multi-UAV collision avoidance is given, Finally, the challenges in the research directions are presented. |
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