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Holistic FOD Detection Via Surface Map and Yolo Networks | IEEE Conference Publication | IEEE Xplore

Holistic FOD Detection Via Surface Map and Yolo Networks


Abstract:

The detection of foreign object debris (FOD) in real-time is crucial for airport safety and security. In this paper, we propose a holistic FOD detection framework that ut...Show More

Abstract:

The detection of foreign object debris (FOD) in real-time is crucial for airport safety and security. In this paper, we propose a holistic FOD detection framework that utilizes both present and past data. A baseline map is constructed first based on frames extracted from clean runway/taxiway videos. During periodic inspections, detection-time frames and aligned baseline images are combined and fed into a modified YOLOv7 network to detect FOD. We explore and compare different configurations of the detection networks to determine the tradeoffs in performance.
Date of Conference: 17-20 September 2023
Date Added to IEEE Xplore: 23 October 2023
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Conference Location: Rome, Italy

References

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