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Review on type of sensors and detection method of anti-collision system of unmanned aerial vehicle


Citation

Chandran, Navaneetha Krishna and Sultan, Mohammed Thariq Hameed and Łukaszewicz, Andrzej and Shahar, Farah Syazwani and Holovatyy, Andriy and Giernacki, Wojciech (2023) Review on type of sensors and detection method of anti-collision system of unmanned aerial vehicle. Sensors, 23 (15). pp. 1-13. ISSN 1424-8220

Abstract

Unmanned aerial vehicle (UAV) usage is increasing drastically worldwide as UAVs are used in various industries for many applications, such as inspection, logistics, agriculture, and many more. This is because performing a task using UAV makes the job more efficient and reduces the workload needed. However, for a UAV to be operated manually or autonomously, the UAV must be equipped with proper safety features. An anti-collision system is one of the most crucial and fundamental safety features that UAVs must be equipped with. The anti-collision system allows the UAV to maintain a safe distance from any obstacles. The anti-collision technologies are of crucial relevance to assure the survival and safety of UAVs. Anti-collision of UAVs can be varied in the aspect of sensor usage and the system’s working principle. This article provides a comprehensive overview of anti-collision technologies for UAVs. It also presents drone safety laws and regulations that prevent a collision at the policy level. The process of anti-collision technologies is studied from three aspects: Obstacle detection, collision prediction, and collision avoidance. A detailed overview and comparison of the methods of each element and an analysis of their advantages and disadvantages have been provided. In addition, the future trends of UAV anti-collision technologies from the viewpoint of fast obstacle detection and wireless networking are presented.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Institute of Tropical Forestry and Forest Products
DOI Number: https://doi.org/10.3390/s23156810
Publisher: MDPI
Keywords: Anti-collision methods; Detection system; Sensors; Unmanned aerial vehicle; Industry; Innovation and infrastructure
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 16 Oct 2024 02:51
Last Modified: 16 Oct 2024 02:51
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/s23156810
URI: http://psasir.upm.edu.my/id/eprint/110303
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