Visual communication and visual navigation method for UAV bionic flight

被引:0
|
作者
Guo Hanwei [1 ]
机构
[1] Beijing Kehang Junwei Technol Co Ltd, 69 Qinghe Zhongjie, Beijing 140269, Peoples R China
关键词
digital twinning; texture matching; monocular location; space-time deduction; artificial intelligence;
D O I
10.1117/12.2572352
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
bee is the perfect visual navigator and visual communicator. this paper proposes a visual navigation and visual communication method, which combines with GPS navigation and radio communication to form a UAV fusion navigation and fusion communication system. Drawing lessons from the characteristics of bees using polarized light navigation, using the air sun, ground markers and other navigation positioning as the backup of the GPS navigation system, by editing the visual behavior rules communication dictionary, in the case of radio communication interference, simulated bee body dance movements for aerial visual communication between UAVs; ground personnel visual recognition UAV air movements, UAV recognition ground personnel body movements, open space visual communication. YOLO V3 models are used in visual communication and navigation to detect UAV visual movements and ground personnel limb movements. Experiments show that the visual communication and navigation system of bionic bee principle can keep UAV formation safe and mission flight under the condition of radio interference.
引用
收藏
页数:7
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