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http://dx.doi.org/10.12673/jant.2018.22.6.522

Experiment on Automatic Detection of Airport Debris (FOD) using EO/IR Cameras and Radar  

Hong, Jae-Beom (Department of Aviation system Engineering, Hanseo University)
Kang, Min-Soo (Department of Aviation system Engineering, Hanseo University)
Kim, Yun-Seob (Wavetech Co.Ltd)
Kim, Min-Soo (Wavetech Co.Ltd)
Hong, Gyo-Young (Department of Aviation system Engineering, Hanseo University)
Publication Information
Journal of Advanced Navigation Technology / v.22, no.6, 2018 , pp. 522-529 More about this Journal
Abstract
FOD refers to various metals and non-metallic foreign substances that pose a risk to aircraft. FODs occur in all areas and time zones, including runways, taxiways, and maintenance facilities, and pose a fatal hazard to aircraft safety during aircraft movements and take-off and landing. Rapid and effective detection and removal of FODs in the runway is required. As part of recent developments in aviation safety technologies, automatic detection of debris in runways in airports is under way. In this paper, we conducted an automated detection test using the EO/IR camera and radar at the Taean campus of Hansu University to confirm normal detection during the day and night.
Keywords
FOD; Automatic detection; Rador; EO/IR camera;
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  • Reference
1 J. G. Lee, Development of automatic detection system for FOD in runways, Ministry of Land, Infrastructure and Transport, pp.3-5, 2014.
2 I. McCreary, Runway safety: FOD, birds, and the case for automated scanning, insight SRI, pp.103-153, 2010.
3 K. B. Lee, J. G. Lee, and D. H. Kim, "A study for efficient foreign object debris detection on runways," The Journal of Korean Society for Aviation and Aeronautics, Vol. 22, No. 1, pp. 130-135, Mar. 2014.   DOI
4 J. G. Lee, Inside Runway FOD automatic detection system development planning final report, Ministry of Land, Infrastructure and Transport, Sejong, Korea, Technical Report MONO1201509307, pp.3-5, 2014.
5 A Study on the design of the automatic detection system for airport aircraft movement area, Wavetech, Anyang, 2017-FOD-AN-02, Jan. 2018.
6 H. S. Shin, G. Y. Hong, J. B. Hong, Y. S. Choi, and Y. S. Kim, Automatic FOD detection test using EO/IR laser light camera, The Journal of Korea Navigation Institute, Vol.21, No.6, pp. 638-642, 2017
7 K. B. Lee, FOD automatic detection system a study on the development direction for localization, Ph.D. dissertation, Incheon University, Incheon, Korea, July 2014.