Research on visual positioning based on dual UAV collaboration

Yu Tian; Yiwen Zhang; Jiawei Li; Junwen Zhu

doi:10.1117/12.2605944

15 September 2021 Research on visual positioning based on dual UAV collaboration

Yu Tian, Yiwen Zhang, Jiawei Li, Junwen Zhu

Proceedings Volume 11915, International Conference on Optics and Image Processing (ICOIP 2021); 119150O (2021) https://doi.org/10.1117/12.2605944
Event: International Conference on Optics and Image Processing (ICOIP 2021), 2021, Guilin, China

Abstract

Because of its low cost and convenient use, UAV is often used to carry out reconnaissance and detection missions. At present, in the process of UAV carrying binocular camera to identify and locate the target, it often faces the problems of insufficient endurance and easy to be found. On the basis of binocular visual positioning, this paper puts forward the method of cooperative positioning of double UAV. Using a single camera to coordinate positioning when two UAVs fly side by side can ensure that it can still complete the task when a UAV is out of control or falls. In the process of target positioning, the binocular vision positioning principle is used to solve the target coordinates by least square method, and the error analysis is carried out by Monte Carlo method. The simulation results show that the error can be controlled within the acceptable range, and the load capacity and endurance ability of UAV can be increased without affecting the positioning accuracy.

Citation Download Citation

Yu Tian, Yiwen Zhang, Jiawei Li, and Junwen Zhu "Research on visual positioning based on dual UAV collaboration", Proc. SPIE 11915, International Conference on Optics and Image Processing (ICOIP 2021), 119150O (15 September 2021); https://doi.org/10.1117/12.2605944

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KEYWORDS

Unmanned aerial vehicles

Cameras

Monte Carlo methods

Error analysis

Imaging systems

Visualization

Detection and tracking algorithms

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