Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches

被引：193

作者：

Yasin, Jawad N. ^{[1
]}

Mohamed, Sherif A. S. ^{[1
]}

Haghbayan, Mohammad-Hashem ^{[1
]}

Heikkonen, Jukka ^{[1
]}

Tenhunen, Hannu ^{[1
,2
]}

Plosila, Juha ^{[1
]}

机构：

[1] Univ Turku, Dept Future Technol, Turku 20500, Finland

[2] KTH Royal Inst Technol, Dept Elect Syst, S-11428 Stockholm, Sweden

来源：

IEEE ACCESS | 2020年 / 8卷

基金：

芬兰科学院;

关键词：

Autonomous aerial vehicles; autonomous vehicles; collision avoidance; active and passive sensors; optimisation-based; force-field based; sense and avoid; geometry based; OBSTACLE AVOIDANCE; AUTONOMOUS NAVIGATION; INFRARED-SENSORS; RADAR; ODOMETRY; TRACKING; OPTIMIZATION; ALGORITHMS; SEARCH;

D O I：

10.1109/ACCESS.2020.3000064

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：105139 / 105155

页数：17

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