A real-time algorithm for foreign objects debris detection on airport runways

Demao Ye; Jianying Wang; Zhiyuan Li

doi:10.1117/12.2580421

5 November 2020 A real-time algorithm for foreign objects debris detection on airport runways

Demao Ye, Jianying Wang, Zhiyuan Li

Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 115674G (2020) https://doi.org/10.1117/12.2580421
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

In order to solve the problems of serious electromagnetic interference, high cost and long detection time of radaroptoelectronic traditional airport runways Foreign Objects Debris Detection(FOD) system, a novel FOD detection algorithm was proposed which based on the improved yolov3. The multi-scale detection and feature extraction network were used to improve the learning ability of object features. Meanwhile, the classical image processing and the deep learning technology was adopt, the algorithm has the ability of target autonomous recognition, besides conventional image restoration. The experimental results show that the algorithm has a strong ability of autonomous recognition and environmental adaptability, the time consumption is better than 0.2s, which can meet the real-time detection of foreign objects debris. It has a guiding significance for the next stage of the engineering of pure-photoelectric foreign object detection system.

Citation Download Citation

Demao Ye, Jianying Wang, and Zhiyuan Li "A real-time algorithm for foreign objects debris detection on airport runways", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 115674G (5 November 2020); https://doi.org/10.1117/12.2580421

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