APPLIED LASER, Volume. 43, Issue 8, 151(2023)

Intelligent Cognition of FOD Based on Voxel Feature Fusion

Chu Xinyue, Zhao Xu, Li Lianpeng, Liu Wen, and Dai Jian
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  • [in Chinese]
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    References(4)

    [2] [2] HAN Z Q, FANG Y C, XU H Y, et al. A novel FOD classification system based on visual features[C]//International Conference on Image and Graphics. Cham: Springer, 2015: 288-296.

    [7] [7] MUND J, ZOUHAR A, MEYER L, et al. Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons[C]//Proceedings of the 5th International Conference on Application and Theory of Automation in Command and Control Systems. Toulouse, France. New York: ACM, 2015: 85-94.

    [8] [8] RAVI R, BULLOCK D, HABIB A. Pavement distress and debris detection using a mobile mapping system with 2D profiler LiDAR[J]. Transportation Research Record: Journal of the Transportation Research Board, 2021, 2675(9): 428-438.

    [9] [9] ELRAYES A, ALI M H, ZAKARIA A, et al. Smart Airport foreign object debris detection rover using LiDAR technology[J]. Internet of Things, 2019, 5: 1-11.

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    Chu Xinyue, Zhao Xu, Li Lianpeng, Liu Wen, Dai Jian. Intelligent Cognition of FOD Based on Voxel Feature Fusion[J]. APPLIED LASER, 2023, 43(8): 151

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    Paper Information

    Received: Apr. 28, 2022

    Accepted: --

    Published Online: May. 24, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20234308.151

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