Comprehensive review of drones collision avoidance schemes: challenges and open issues
In the contemporary landscape, the escalating deployment of drones across diverse industries has ushered in a consequential concern, including ensuring the security of drone operations. This concern extends to a spectrum of challenges, encompassing collisions with stationary and mobile obstacles and...
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| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112894/ http://psasir.upm.edu.my/id/eprint/112894/1/112894.pdf |
| _version_ | 1848866069020672000 |
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| author | Rezaee, Mohammad Reza Abdul Hamid, Nor Asilah Wati Hussin, Masnida Ahmad Zukarnain, Zuriati |
| author_facet | Rezaee, Mohammad Reza Abdul Hamid, Nor Asilah Wati Hussin, Masnida Ahmad Zukarnain, Zuriati |
| author_sort | Rezaee, Mohammad Reza |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In the contemporary landscape, the escalating deployment of drones across diverse industries has ushered in a consequential concern, including ensuring the security of drone operations. This concern extends to a spectrum of challenges, encompassing collisions with stationary and mobile obstacles and encounters with other drones. Moreover, the inherent limitations of drones, namely constraints on energy consumption, data storage capacity, and processing power, present formidable obstacles in developing collision avoidance algorithms. This review paper explores the challenges of ensuring safe drone operations, focusing on collision avoidance. We explore collision avoidance methods for UAVs from various perspectives, categorizing them into four main groups: obstacle detection and avoidance, collision avoidance algorithms, drone swarm, and path optimization. Additionally, our analysis delves into machine learning techniques, discusses metrics and simulation tools to validate collision avoidance systems, and delineates local and global algorithmic perspectives. Our evaluation reveals significant challenges in current drone collision prevention algorithms. Despite advancements, critical UAV network and communication challenges are often overlooked, prompting a reliance on simulation-based research due to cost and safety concerns. Challenges encompass precise detection of small and moving obstacles, minimizing path deviations at minimal cost, high machine learning and automation expenses, prohibitive costs of real testbeds, limited environmental comprehension, and security apprehensions. By addressing these key areas, future research can advance the field of drone collision avoidance and pave the way for safer and more efficient UAV operations. © 2000-2011 IEEE. |
| first_indexed | 2025-11-15T14:14:44Z |
| format | Article |
| id | upm-112894 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:14:44Z |
| publishDate | 2024 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1128942024-10-28T07:57:56Z http://psasir.upm.edu.my/id/eprint/112894/ Comprehensive review of drones collision avoidance schemes: challenges and open issues Rezaee, Mohammad Reza Abdul Hamid, Nor Asilah Wati Hussin, Masnida Ahmad Zukarnain, Zuriati In the contemporary landscape, the escalating deployment of drones across diverse industries has ushered in a consequential concern, including ensuring the security of drone operations. This concern extends to a spectrum of challenges, encompassing collisions with stationary and mobile obstacles and encounters with other drones. Moreover, the inherent limitations of drones, namely constraints on energy consumption, data storage capacity, and processing power, present formidable obstacles in developing collision avoidance algorithms. This review paper explores the challenges of ensuring safe drone operations, focusing on collision avoidance. We explore collision avoidance methods for UAVs from various perspectives, categorizing them into four main groups: obstacle detection and avoidance, collision avoidance algorithms, drone swarm, and path optimization. Additionally, our analysis delves into machine learning techniques, discusses metrics and simulation tools to validate collision avoidance systems, and delineates local and global algorithmic perspectives. Our evaluation reveals significant challenges in current drone collision prevention algorithms. Despite advancements, critical UAV network and communication challenges are often overlooked, prompting a reliance on simulation-based research due to cost and safety concerns. Challenges encompass precise detection of small and moving obstacles, minimizing path deviations at minimal cost, high machine learning and automation expenses, prohibitive costs of real testbeds, limited environmental comprehension, and security apprehensions. By addressing these key areas, future research can advance the field of drone collision avoidance and pave the way for safer and more efficient UAV operations. © 2000-2011 IEEE. Institute of Electrical and Electronics Engineers 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/112894/1/112894.pdf Rezaee, Mohammad Reza and Abdul Hamid, Nor Asilah Wati and Hussin, Masnida and Ahmad Zukarnain, Zuriati (2024) Comprehensive review of drones collision avoidance schemes: challenges and open issues. IEEE Transactions on Intelligent Transportation Systems, 25 (7). pp. 6397-6426. ISSN 1524-9050; eISSN: 1558-0016 https://ieeexplore.ieee.org/document/10477874 10.1109/TITS.2024.3375893 |
| spellingShingle | Rezaee, Mohammad Reza Abdul Hamid, Nor Asilah Wati Hussin, Masnida Ahmad Zukarnain, Zuriati Comprehensive review of drones collision avoidance schemes: challenges and open issues |
| title | Comprehensive review of drones collision avoidance schemes: challenges and open issues |
| title_full | Comprehensive review of drones collision avoidance schemes: challenges and open issues |
| title_fullStr | Comprehensive review of drones collision avoidance schemes: challenges and open issues |
| title_full_unstemmed | Comprehensive review of drones collision avoidance schemes: challenges and open issues |
| title_short | Comprehensive review of drones collision avoidance schemes: challenges and open issues |
| title_sort | comprehensive review of drones collision avoidance schemes: challenges and open issues |
| url | http://psasir.upm.edu.my/id/eprint/112894/ http://psasir.upm.edu.my/id/eprint/112894/ http://psasir.upm.edu.my/id/eprint/112894/ http://psasir.upm.edu.my/id/eprint/112894/1/112894.pdf |