Affiliation:
1. Nanjing University of Science and Technology, Zijin College, Nanjing, Jiangsu 210046, China
Abstract
Foreign object debris (FOD) would potentially cause huge damage when it appears on the airport runway, so the FOD surveillance system is one of the essential protectors for airplane's safety now. This paper introduces a designed method of airport runway FOD detection system based on WSN, analyzes function of various image acquisition sensors, and introduces FOD image analysis algorithm. Finally WSN data fusion technology is used to analyze the FOD image.
Subject
Computer Networks and Communications,General Engineering
Cited by
5 articles.
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1. Synthetic Aperture Radar Aboard an Unmanned Aerial System for Detecting Foreign Object Debris on Airport Runways;IEEE Access;2024
2. Increasing the efficiency of aviation operation of the aerodrome;PROBLEMS IN THE TEXTILE AND LIGHT INDUSTRY IN THE CONTEXT OF INTEGRATION OF SCIENCE AND INDUSTRY AND WAYS TO SOLVE THEM: (PTLICISIWS-2022);2023
3. A Comparison of Manual and Automotive FOD Detection Systems at Airport Runways;2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2022-10-13
4. UAV and AI Application for Runway Foreign Object Debris (FOD) Detection;2021 IEEE Aerospace Conference (50100);2021-03-06
5. Smart system for FOD detection;Materials Today: Proceedings;2020