Paper
18 November 2022 Research on the feasibility of object detection technology in airport airspace control
Bin Guo, Guoliang Zhai, Xiao Wang, Feng Wang, Peng Wei, Ke Sun
Author Affiliations +
Proceedings Volume 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022); 124730R (2022) https://doi.org/10.1117/12.2653839
Event: Second International Conference on Optics and Communication Technology (ICOCT 2022), 2022, Hefei, China
Abstract
The rapid development of the civil aviation field has made people pay more attention to aviation safety. This paper discusses the application of target detection technology in airport airspace control. Airport airspace control includes many aspects, and this article focuses on bird strike prevention. For the target detection technology, we selected three target detection technologies, HOG+SVM, RCNN and YOLO for discussion and comparison. Considering the application scenarios and real-time requirements of bird strike prevention, YOLO was finally selected for feasibility experiment. Experiments with YOLO got pretty good results, YOLO can successfully detect flying birds in the airport scene. This proves the feasibility of the application of object detection technology in airport airspace control.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bin Guo, Guoliang Zhai, Xiao Wang, Feng Wang, Peng Wei, and Ke Sun "Research on the feasibility of object detection technology in airport airspace control", Proc. SPIE 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022), 124730R (18 November 2022); https://doi.org/10.1117/12.2653839
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KEYWORDS
Detection and tracking algorithms

Target detection

Evolutionary algorithms

Artificial intelligence

Safety

Feature extraction

Convolutional neural networks

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