Airport Runway FOD Detection from LFMCW Radar and Image Data

Abstract:

Airport runway Foreign Object Debris (FOD) jeopardizes flight safety and leads to a large amount of financial cost on flight maintenance constantly. Several FOD detection systems based on a variety of detection techniques and architectures have been developed. This paper gives a brief introduction of our FOD detection system, in comparison with FOD detection systems currently in the international market. What distinguish our system from all the others is that, our detection approach is based on both linear frequency modulated continuous wave (LFMCW) radar signal and image data. This innovation combines the advantages of radar in shape detection and image in appearance detection. As a result, it increases the FOD detection rate and reduces the false alarming rate. Experiments following Federal Aviation Administration (FAA) advisory indicate that our system has reached the FAA requirements.

• Periodical: Applied Mechanics and Materials (Volumes 719-720)
• Pages: 1124-1131
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.719-720.1124
• Online since: January 2015
• Authors: Jing Guo, Yi Luo, Yun Feng Sui, Dan Qing Yan, Qi Zhong
• Keywords: FOD Object Detection, Image Features, LFMCW Radar, Supervised Learning

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