Path-planning and obstacle avoidance algorithms for UAVs: a systematic literature review

Khawla Saif Almazrouei; Ali Bou Nassif; Mohammad AlShabi

doi:10.1117/12.2664056

14 June 2023 Path-planning and obstacle avoidance algorithms for UAVs: a systematic literature review

Khawla Saif Almazrouei, Ali Bou Nassif, Mohammad AlShabi

Proceedings Volume 12549, Unmanned Systems Technology XXV; 125490S (2023) https://doi.org/10.1117/12.2664056
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Conference Poster

Abstract

Recent interest in unmanned aerial vehicles (UAVs) has grown due to the wide range of possible civilian uses for these aircraft. However, present robot navigation technologies still need to be improved in various situations. Researchers are particularly interested in the 'Sense and Avoid' capacity as a critical issue. UAVs operating in civilian areas must have this functionality to do so safely. Numerous path planning and navigation algorithms have been developed for autonomous decision-making and control of UAVs. These path-planning algorithms are divided into either heuristic and non-heuristic or accurate methods. Both existing UAV route planning algorithms for the first and second techniques will be thoroughly compared in this work. Each algorithm is put through its paces in three diverse obstacle scenarios. Each method has been evaluated under various global and local obstacle information availability conditions while comparing the computational time and solution optimality.

Citation Download Citation

Khawla Saif Almazrouei, Ali Bou Nassif, and Mohammad AlShabi "Path-planning and obstacle avoidance algorithms for UAVs: a systematic literature review", Proc. SPIE 12549, Unmanned Systems Technology XXV, 125490S (14 June 2023); https://doi.org/10.1117/12.2664056

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