Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches
Open accessAbstract
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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- Authors
- Yasin, J. N., Mohamed, S. A. S., Haghbayan, M.-H., Heikkonen, J., Tenhunen, H., & Plosila, J.
- Affiliations
- University of Turku (FI)
- ORCID
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 105139-105155
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3033271745
- Cited by
- 329
- References
- 0
- Citations by year
- 2026: 35 · 2025: 53 · 2024: 71 · 2023: 73 · 2022: 47 · 2021: 36 · 2020: 14
- FWCI
- 16.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Academy of Finland (314048)
- Finnish Cultural Foundation
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotic Path Planning Algorithms
- Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
- Physical Sciences › Engineering › Aerospace Engineering › Aerospace and Aviation Technology
- Keywords
- unmanned aerial vehicles, collision avoidance systems, UAV autonomy, sensor types
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