避障
障碍物
计算机科学
避碰
人工智能
计算机视觉
航空学
计算机安全
工程类
地理
移动机器人
机器人
考古
碰撞
作者
Ahmad Merei,Hamid Mcheick,Alia Ghaddar,Djamal Rebaïne
出处
期刊:Drones
[Multidisciplinary Digital Publishing Institute]
日期:2025-03-12
卷期号:9 (3): 203-203
被引量:17
标识
DOI:10.3390/drones9030203
摘要
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.
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