A Review on Collision Avoidance Systems for Unmanned Aerial Vehicles
Kelvin Dushime, Lewis Nkenyereye, Seong Ki Yoo, JaeSeung Song · 2021 International Conference on Information and Communication Technology Convergence (ICTC) · 2021
The unmanned Aerial Vehicles (UAV) concept has attracted the attention of both academia and industry as an alternative to reduce the traffic congestion limitation. To coordinate the UAVs located in the sky, also called drones, the concept of the Internet of Drones (IoD) was introduced as overall coordination of UAVs in the sky. IoD paradigm offers a wide range of applications mainly targeting the military and civilian environments. Some of those applications include transportation, agriculture-based systems, entertainment, weather monitoring, healthcare systems, and road hazards monitoring. However, once an area is highly congested by a various number of drones, dynamic or statics obstacles can hinder the overall performance of drones. In order to avoid those obstacles, one of the proposed solutions is to apply collision avoidance techniques while the drones are on duty. In this paper, we present a brief survey of collision avoidance systems for the internet of drones. We have reviewed the current literature review ranging from the year 2010 to 2021. This work has taken into consideration two main frequently used databases in academia: Xplore for IEEE and ScienceDirect for Elsevier. After article selection, some articles were retained and discussed. A detailed discussion and analysis of selected articles were made while most of the techniques used in collision avoidance systems include video-based systems and swarm-based intelligence approaches. Furthermore, the paper discusses the different approaches which are used to design collision avoidance systems. Finally, this paper provides concluding remarks and future research orientation that will mainly focus on AI-based algorithms applied in collision avoidance systems.