A Lightweight UAV Visual Obstacle Avoidance Algorithm Based on Improved YOLOv8

The importance of unmanned aerial vehicle (UAV) obstacle avoidance algorithms lies in their ability to ensure flight safety and collision avoidance, thereby protecting people and property. We propose UAD-YOLOv8, a lightweight YOLOv8-based obstacle detection algorithm optimized for UAV obstacle avoid...

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Veröffentlicht in:	Computers, materials & continua Jg. 81; H. 2; S. 2607 - 2627
Hauptverfasser:	Du, Zongdong, Feng, Xuefeng, Li, Feng, Xian, Qinglong, Jia, Zhenhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 2024
Schlagworte:	Adaptive algorithms Algorithms Collision avoidance Convolution Flight safety Formability Obstacle avoidance Parameters Unmanned aerial vehicles
ISSN:	1546-2226, 1546-2218, 1546-2226
Online-Zugang:	Volltext
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