A Survey on Obstacle Detection and Avoidance Methods for UAVs
Obstacle avoidance is crucial for the successful completion of UAV missions. Static and dynamic obstacles, such as trees, buildings, flying birds, or other UAVs, can threaten these missions. As a result, safe path planning is essential, particularly for missions involving multiple UAVs. Collision-fr...
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MDPI AG
2025-03-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/9/3/203 |
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| author | Ahmad Merei Hamid Mcheick Alia Ghaddar Djamal Rebaine |
| author_facet | Ahmad Merei Hamid Mcheick Alia Ghaddar Djamal Rebaine |
| author_sort | Ahmad Merei |
| collection | DOAJ |
| description | Obstacle avoidance is crucial for the successful completion of UAV missions. Static and dynamic obstacles, such as trees, buildings, flying birds, or other UAVs, can threaten these missions. As a result, safe path planning is essential, particularly for missions involving multiple UAVs. Collision-free paths can be designed in either 2D or 3D environments, depending on the scenario. This study provides an overview of recent advancements in obstacle avoidance and path planning for UAVs. These methods are compared based on various criteria, including avoidance techniques, obstacle types, the environment explored, sensor equipment, map types, and path statuses. Additionally, this paper includes a process addressing obstacle detection and avoidance and reviews the evolution of obstacle detection and avoidance (ODA) techniques in UAVs over the past decade. |
| format | Article |
| id | doaj-art-bf584367bfb8476db9a40b58c2be6de7 |
| institution | OA Journals |
| issn | 2504-446X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-bf584367bfb8476db9a40b58c2be6de72025-08-20T02:11:22ZengMDPI AGDrones2504-446X2025-03-019320310.3390/drones9030203A Survey on Obstacle Detection and Avoidance Methods for UAVsAhmad Merei0Hamid Mcheick1Alia Ghaddar2Djamal Rebaine3Department of Computer Science and Mathematics, University of Quebec at Chicoutimi, Saguenay, QC G7H 2B1, CanadaDepartment of Computer Science and Mathematics, University of Quebec at Chicoutimi, Saguenay, QC G7H 2B1, CanadaDepartment of Computer Science, The International University of Beirut, Mouseitbeh, Mazraa, Beirut P.O. Box 146404, LebanonDepartment of Computer Science and Mathematics, University of Quebec at Chicoutimi, Saguenay, QC G7H 2B1, CanadaObstacle avoidance is crucial for the successful completion of UAV missions. Static and dynamic obstacles, such as trees, buildings, flying birds, or other UAVs, can threaten these missions. As a result, safe path planning is essential, particularly for missions involving multiple UAVs. Collision-free paths can be designed in either 2D or 3D environments, depending on the scenario. This study provides an overview of recent advancements in obstacle avoidance and path planning for UAVs. These methods are compared based on various criteria, including avoidance techniques, obstacle types, the environment explored, sensor equipment, map types, and path statuses. Additionally, this paper includes a process addressing obstacle detection and avoidance and reviews the evolution of obstacle detection and avoidance (ODA) techniques in UAVs over the past decade.https://www.mdpi.com/2504-446X/9/3/203unmanned aerial vehicleobstacle avoidancecollision freenon-flying zonespath planning |
| spellingShingle | Ahmad Merei Hamid Mcheick Alia Ghaddar Djamal Rebaine A Survey on Obstacle Detection and Avoidance Methods for UAVs Drones unmanned aerial vehicle obstacle avoidance collision free non-flying zones path planning |
| title | A Survey on Obstacle Detection and Avoidance Methods for UAVs |
| title_full | A Survey on Obstacle Detection and Avoidance Methods for UAVs |
| title_fullStr | A Survey on Obstacle Detection and Avoidance Methods for UAVs |
| title_full_unstemmed | A Survey on Obstacle Detection and Avoidance Methods for UAVs |
| title_short | A Survey on Obstacle Detection and Avoidance Methods for UAVs |
| title_sort | survey on obstacle detection and avoidance methods for uavs |
| topic | unmanned aerial vehicle obstacle avoidance collision free non-flying zones path planning |
| url | https://www.mdpi.com/2504-446X/9/3/203 |
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