A novel method of UAV autonomous precise landing by machine vision

Junlong Su; Fei Ling; Miaolin Zhou; Xiaojian Chen; Yongwen Yang

doi:10.1117/12.2678629

14 April 2023 A novel method of UAV autonomous precise landing by machine vision

Junlong Su, Fei Ling, Miaolin Zhou, Xiaojian Chen, Yongwen Yang

Proceedings Volume 12634, International Conference on Optics and Machine Vision (ICOMV 2023); 126340I (2023) https://doi.org/10.1117/12.2678629
Event: International Conference on Optics and Machine Vision (ICOMV 2023), 2023, Changsha, China

Abstract

GPS and machine vision are commonly used in traditional UAV landings. Due to the influence of meteorological environment and positioning deviation, as well as the limitation of the detection accuracy and efficiency of visual landing signs, the UAV cannot accurately land on the target position. Aiming at this problem, a novel method of UAV autonomous precise landing by machine vision was proposed. First, a "Hui" shaped UAV landing sign was designed. Then, image processing algorithm was used to identify and locate the landing sign of UAV. The relative position was calculated between the UAV and the center point of the landing sign to control the landing of UAV by PID algorithm. Finally, an autonomous landing test of UAV was conducted. The test results showed that the method could achieve the accurate landing of UAV at 40-50 meters. The average detection time of the algorithm was 3.58 ms, and the average accuracy was 102 mm.

Citation Download Citation

Junlong Su, Fei Ling, Miaolin Zhou, Xiaojian Chen, and Yongwen Yang "A novel method of UAV autonomous precise landing by machine vision", Proc. SPIE 12634, International Conference on Optics and Machine Vision (ICOMV 2023), 126340I (14 April 2023); https://doi.org/10.1117/12.2678629

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