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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Vydané v:	Computers, materials & continua Ročník 81; číslo 2; s. 2607 - 2627
Hlavní autori:	Du, Zongdong, Feng, Xuefeng, Li, Feng, Xian, Qinglong, Jia, Zhenhong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Henderson Tech Science Press 2024
Predmet:	Adaptive algorithms Algorithms Collision avoidance Convolution Flight safety Formability Obstacle avoidance Parameters Unmanned aerial vehicles
ISSN:	1546-2226, 1546-2218, 1546-2226
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