期刊
IEEE ACCESS
卷 8, 期 -, 页码 105139-105155出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3000064
关键词
Autonomous aerial vehicles; autonomous vehicles; collision avoidance; active and passive sensors; optimisation-based; force-field based; sense and avoid; geometry based
资金
- Academy of Finland [314048]
- Finnish Cultural Foundation
- Academy of Finland (AKA) [314048, 314048] Funding Source: Academy of Finland (AKA)
Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). A lot of work is being done to make the CAS as safe and reliable as possible, necessitating a comparative study of the recent work in this important area. The paper provides a comprehensive review of collision avoidance strategies used for unmanned vehicles, with the main emphasis on unmanned aerial vehicles (UAV). It is an in-depth survey of different collision avoidance techniques that are categorically explained along with a comparative analysis of the considered approaches w.r.t. different scenarios and technical aspects. This also includes a discussion on the use of different types of sensors for collision avoidance in the context of UAVs.
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