A Lightweight Foreign Object Debris Detection Algorithm for Airport Runway

Author:

Liu Jialing1ORCID,Lu Yifeng1ORCID

Affiliation:

1. School of Computer Science and Engineering, Chongqing University of Technology, China

Funder

Graduate Student Innovation Program of Chongqing University of Technology

Publisher

ACM

Reference17 articles.

1. FAA Advisory Circular 15 0/ 5020 - 5024 .Airport Foreign Object Debris (FOD) Detection Equipment[R]2009.1-13 FAA Advisory Circular 150/5020-24.Airport Foreign Object Debris (FOD) Detection Equipment[R]2009.1-13

2. Li P , Li H. Research on FOD detection for airport runway based on yolov3[C]//2020 39th Chinese Control Conference (CCC) . IEEE , 2020 : 7096-7099. Li P, Li H. Research on FOD detection for airport runway based on yolov3[C]//2020 39th Chinese Control Conference (CCC). IEEE, 2020: 7096-7099.

3. Redmon J , Farhadi A. Yolov 3 : An incremental improvement[J]. arXiv preprint arXiv:1804.02767 , 2018 . Redmon J, Farhadi A.Yolov3: An incremental improvement[J]. arXiv preprint arXiv:1804.02767, 2018.

4. Liang W , Zhou Z , Chen X , Research on Airport Runway FOD Detection Algorithm Based on Texture Segmentation[C]//2020 IEEE 4th Information Technology, Networking , Electronic and Automation Control Conference (ITNEC). IEEE , 2020 , 1: 2103 - 2106 . Liang W, Zhou Z, Chen X, Research on Airport Runway FOD Detection Algorithm Based on Texture Segmentation[C]//2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2020, 1: 2103-2106.

5. Mahammad S A , Sushma V. Raspberry Pi Based Vision System for Foreign Object Debris (FOD) Detection[J] . 2020 . Mahammad S A, Sushma V. Raspberry Pi Based Vision System for Foreign Object Debris (FOD) Detection[J]. 2020.

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1. Foreign Object Detection Based on Compositional Scene Modeling;Lecture Notes in Computer Science;2023

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