Optics and Precision Engineering, Volume. 30, Issue 13, 1591(2022)

Detection of foreign object debris on night airport runway fusion with self-attentional feature embedding

Zifen HE, Guangchen CHEN, Sen WANG, Yinhui ZHANG*, and Linwei GUO
Author Affiliations
  • Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming650500, China
  • show less
    References(40)

    [1] O'DONNEL M J. Airport foreign object debris (FOD) detection equipment[J]. FAA, 150, 24(2009).

    [2] NI P, MIAO C, TANG H et al. Small foreign object debris detection for millimeter-wave radar based on power spectrum features[J]. Sensors (Basel, Switzerland), 20, 2316(2020).

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

    [4] FUTATSUMORI S, MORIOKA K, KOHMURA A et al. Detection characteristic evaluations of optically-connected wideband 96 GHz millimeter-wave radar for airport surface foreign object debris detection[C], 25, 1-2(2016).

    [5] [5] 5王宝帅, 兰竹, 李正杰, 等. 毫米波雷达机场跑道异物分层检测算法[J]. 电子与信息学报, 2018, 40(11): 2676-2683. doi: 10.11999/JEIT180200WANGB SH, LANZH, LIZH J, et al. A hierarchical foreign object debris detection method using millimeter wave radar[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2676-2683.(in Chinese). doi: 10.11999/JEIT180200

    [6] [6] 6王宝帅, 刘江洪, 郑小亮, 等. 基于特征谱特征的机场跑道异物分层检测算法[J]. 电子与信息学报, 2017, 39(11): 2690-2696. doi: 10.11999/JEIT170178WANGB SH, LIUJ H, ZHENGX L, et al. A hierarchical FOD detection method based on eigenvalue spectrum features[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2690-2696.(in Chinese). doi: 10.11999/JEIT170178

    [7] [7] 7王张飞, 刘春阳, 隋新, 等. 基于深度投影的三维点云目标分割和碰撞检测[J]. 光学 精密工程, 2020, 28(7): 1600-1608. doi: 10.37188/OPE.20202807.1600WANGZH F, LIUCH Y, SUIX, et al. Three-dimensional point cloud object segmentation and collision detection based on depth projection[J]. Opt. Precision Eng., 2020, 28(7): 1600-1608.(in Chinese). doi: 10.37188/OPE.20202807.1600

    [8] [8] 8王国屹, 孙永荣, 张怡, 等. 背景对齐差分的机场跑道异物分块检测与跟踪算法[J]. 计算机辅助设计与图形学学报, 2021, 33(3): 413-423. doi: 10.3724/sp.j.1089.2021.18387WANGG Y, SUNY R, ZHANGY, et al. Block detection and tracking algorithm of foreign objects debris in airport runway based on background alignment and difference[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(3): 413-423.(in Chinese). doi: 10.3724/sp.j.1089.2021.18387

    [9] [9] 9郭保青, 杨柳旭, 史红梅, 等. 基于快速背景差分的高速铁路异物侵入检测算法[J]. 仪器仪表学报, 2016, 37(6): 1371-1378. doi: 10.3969/j.issn.0254-3087.2016.06.022GUOB Q, YANGL X, SHIH M, et al. High-speed railway clearance intrusion detection algorithm with fast background subtraction[J]. Chinese Journal of Scientific Instrument, 2016, 37(6): 1371-1378.(in Chinese). doi: 10.3969/j.issn.0254-3087.2016.06.022

    [10] [10] 10曹辉, 杨理践, 刘俊甫, 等. 基于数据融合的小波变换漏磁异常边缘检测[J]. 仪器仪表学报, 2019, 40(12): 71-79.CAOH, YANGL J, LIUJ F, et al. Magnetic flux leakage anomaly edge detection based on data fusion and wavelet transformation[J]. Chinese Journal of Scientific Instrument, 2019, 40(12): 71-79.(in Chinese)

    [11] [11] 11李泾渭, 辛青, 侯昌伦. 通过傅里叶变换测量多表面面形[J]. 光学 精密工程, 2019, 27(6): 1277-1285. doi: 10.3788/ope.20192706.1277LIJ W, XINQ, HOUCH L. Measuring multi-surface shape by Fourier transform[J]. Opt. Precision Eng., 2019, 27(6): 1277-1285.(in Chinese). doi: 10.3788/ope.20192706.1277

    [12] [12] 12杨泽楠, 牛海鹏, 黄亮, 等. 基于MSR-cut的高空间分辨率遥感影像边缘检测分割[J]. 农业机械学报, 2021, 52(8): 154-162. doi: 10.6041/j.issn.1000-1298.2021.08.015YANGZ N, NIUH P, HUANGL, et al. Edge detection segmentation method for high spatial resolution remote sensing image based on MSR-cut[J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(8): 154-162.(in Chinese). doi: 10.6041/j.issn.1000-1298.2021.08.015

    [13] [13] 13朱广平, 宋泽林, 殷敬伟, 等. 起伏冰表面轮廓提取及其起伏程度分析方法[J]. 仪器仪表学报, 2018, 39(5): 115-122.ZHUG P, SONGZ L, YINJ W, et al. Surface profile extraction and its irregularity analysisof irregular ice[J]. Chinese Journal of Scientific Instrument, 2018, 39(5): 115-122.(in Chinese)

    [14] GIRSHICK R, DONAHUE J, DARRELL T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 23, 580-587(2014).

    [15] [15] 15夏浩宇, 索双富, 王洋, 等. 基于Keypoint RCNN改进模型的物体抓取检测算法[J]. 仪器仪表学报, 2021, 42(4): 236-246.XIAH Y, SUOS F, WANGY, et al. Object grasp detection algorithm based on improved Keypoint RCNN model[J]. Chinese Journal of Scientific Instrument, 2021, 42(4): 236-246.(in Chinese)

    [16] GIRSHICK R. Fast R-CNN[C], 1440-1448(2015).

    [17] [17] 17王博, 董登峰, 周维虎, 等. 面向激光跟踪仪跟踪恢复的合作目标视觉检测[J]. 光学 精密工程, 2020, 28(2): 271-282.WANGB, DONGD F, ZHOUW H, et al. Visual detection of targetball for laser tracker target tracking recovery[J]. Opt. Precision Eng., 2020, 28(2): 271-282.(in Chinese)

    [18] [18] 18余永维, 韩鑫, 杜柳青. 基于Inception-SSD算法的零件识别[J]. 光学 精密工程, 2020, 28(8): 1799-1809.YUY W, HANX, DUL Q. Target part recognition based Inception-SSD algorithm[J]. Opt. Precision Eng., 2020, 28(8): 1799-1809.(in Chinese)

    [19] REDMON J, DIVVALA S, GIRSHICK R et al. You only look once: unified, real-time object detection[C], 779-788(2016).

    [20] REDMON J, FARHADI A. YOLO9000: better, faster, stronger[C], 6517-6525(2017).

    [21] FARHADI A, REDMON J. Yolov3: An incremental improvement[C], 1804-2767(2018).

    [22] BOCHKOVSKIY A, WANG C Y, LIAO H Y M. YOLOv4: optimal speed and accuracy of object detection[J]. arXiv preprint arXiv, 2004(2020).

    [23] ZHOU F B, ZHAO H L, NIE Z. Safety helmet detection based on YOLOv5[C], 22, 6-11(2021).

    [24] GE Z, LIU S T, WANG F et al. YOLOX: exceeding YOLO series in 2021[J]. arXiv preprint arXiv, 2107(2021).

    [25] WANG C Y, YEH I H, LIAO H Y M. You only learn one representation: unified network for multiple tasks[J]. arXiv preprint arXiv, 2105(2021).

    [26] CHEN Q, WANG Y M, YANG T et al. You only look one-level feature[C], 13034-13043(2021).

    [27] CAO X G, WANG P, MENG C et al. Region based CNN for foreign object debris detection on airfield pavement[J]. Sensors (Basel, Switzerland), 18, 737(2018).

    [28] [28] 28兰庭信, 蒋进, 尚帅, 等. 机场跑道异物检测与定位技术研究[J]. 电光与控制, 2021, 28(9): 75-79. doi: 10.3969/j.issn.1671-637X.2021.09.016LANT X, JIANGJ, SHANGSH, et al. Detecting and locating of foreign object debris on airport runway[J]. Electronics Optics & Control, 2021, 28(9): 75-79.(in Chinese). doi: 10.3969/j.issn.1671-637X.2021.09.016

    [29] [29] 29郭晓静, 隋昊达. 改进YOLOv3在机场跑道异物目标检测中的应用[J]. 计算机工程与应用, 2021, 57(8): 249-255.GUOX J, SUIH D. Application of improved YOLOv3 in foreign object debris target detection on airfield pavement[J]. Computer Engineering and Applications, 2021, 57(8): 249-255.(in Chinese)

    [30] LU Y H, ZHANG L W, XIE W. YOLO-compact: an efficient YOLO network for single category real-time object detection[C], 1931-1936(2020).

    [31] DOSOVITSKIY A, BEYER L, KOLESNIKOV A et al. An image is worth 16×16 words: transformers for image recognition at scale[J]. arXiv preprint arXiv, 2010(2020).

    [32] VOITA E, TALBOT D, MOISEEV F et al. Analyzing multi-head self-attention: specialized heads do the heavy lifting, the rest can be pruned[C], 1905(2019).

    [33] XIONG R B, YANG Y C, HE D et al. On layer normalization in the transformer architecture[C], 10524-10533(2020).

    [34] [34] 34李秀智, 李家豪, 张祥银, 等. 基于深度学习的机器人最优抓取姿态检测方法[J]. 仪器仪表学报, 2020, 41(5): 108-117.LIX ZH, LIJ H, ZHANGX Y, et al. Detection method of robot optimal grasp posture based on deep learning[J]. Chinese Journal of Scientific Instrument, 2020, 41(5): 108-117.(in Chinese)

    [35] ZHANG X J, WANG C Y, CHENG L et al. Timber transportation vehicle detection based on SSD-GIoU[C]. Sustainable Computing & Communications, 1410-1415(2019).

    [36] HONG F, LU C H, LIU C et al. PGNet: pipeline guidance for human key-point detection[J]. Entropy, 22, 369(2020).

    [37] [37] 37王宸, 张秀峰, 刘超, 等. 改进YOLOv3的轮毂焊缝缺陷检测[J]. 光学 精密工程, 2021, 29(8): 1942-1954. doi: 10.37188/OPE.20212908.1942WANGCH, ZHANGX F, LIUCH, et al. Detection method of wheel hub weld defects based on the improved YOLOv3[J]. Opt. Precision Eng., 2021, 29(8): 1942-1954.(in Chinese). doi: 10.37188/OPE.20212908.1942

    [38] FENG C J, ZHONG Y J, GAO Y et al. TOOD: task-aligned one-stage object detection[C], 3490-3499(2021).

    [39] ZHANG H Y, WANG Y, DAYOUB F et al. VarifocalNet: an IoU-aware dense object detector[C], 8510-8519(2021).

    [40] SUN P Z, ZHANG R F, JIANG Y et al. Sparse R-CNN: end-to-end object detection with learnable proposals[C], 14449-14458(2021).

    Tools

    Get Citation

    Copy Citation Text

    Zifen HE, Guangchen CHEN, Sen WANG, Yinhui ZHANG, Linwei GUO. Detection of foreign object debris on night airport runway fusion with self-attentional feature embedding[J]. Optics and Precision Engineering, 2022, 30(13): 1591

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Information Sciences

    Received: Jan. 5, 2022

    Accepted: --

    Published Online: Jul. 27, 2022

    The Author Email: Yinhui ZHANG (yinhui_z@163.com)

    DOI:10.37188/OPE.20223013.1591

    Topics