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.
In the network world, the physical model, sensor update, running history and other data mapping a three- dimensional world, this is digital twinning. Remote sensing image combined with high precision elevation data can reproduce three-dimensional space-time background. Based on the data of historical remote sensing image, the target is detected, located, classified and recognized from real-time video data, the spatiotemporal behavior of the role is extracted, the spatiotemporal events are predicted, and the spatiotemporal scenario twin mapping is completed by using simulation technology in virtual space.Through image texture matching, special point alignment and geometric transformation, the spatiotemporal alignment of video and remote sensing images is completed.Under the condition of no control points and obvious markers, the relative motion conditions of the target and the sensor are used to realize the simultaneous detection, positioning, tracking and recognition of the target.The twin fusion of satellite video, UAV video and surveillance video and remote sensing image is completed through experiments, which is helpful to better understand space-time analysis and influence space-time control decision.
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