Foreign Object Debris detection system using GoogLeNet

被引：0
|
作者：
Suder, Jakub [1 ]
Marciniak, Tomasz [1 ]
机构：
[1] Poznan Univ Tech, Inst Automat Control & Robot, Div Signal Proc & Elect Syst, Ul Jana Pawla II 24, PL-60965 Poznan, Poland
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2023年 / 99卷 / 11期
基金：
欧盟地平线“2020”;
关键词：
Foreign Object Debris; embedded vision system; neural networks; GoogLeNet;
D O I：
10.15199/48.2023.11.47
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The article presents the concept of a vision system for Foreign Object Debris (FOD) detection in the airport environment, based on the GoogLeNet network. The authors present the motivation for the research carried out and the preliminary tests carried out at the Pozna-Lawica Airport and present the developed model of a convolutional neural network with an accuracy of 95.73%. The FOD-A dataset containing more than 19,000 images taken under various weather conditions was used to train the model to ensure the diversity of the dataset.
引用
收藏
页码：249 / 252
页数：4
相关论文
共 50 条
  • [1] Standardization Activities on Foreign Object and Debris Detection System for Airport
    Yonemoto, Naruto
    Futatsumori, Shunichi
    Kohmura, Akiko
    Morioka, Kazuyuki
    [J]. 2020 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2021, : 665 - 666
  • [2] A Practical Application of Runway Foreign Object Debris Detection System at the Airport
    Wang, Xiaobin
    Lan, Zhu
    Li, Zhengjie
    Lin, Yuxin
    Xiao, Qin
    [J]. 2018 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT2018), 2018,
  • [3] Foreign Object Debris Detection Using a 78 GHz Sensor with Cosec Antenna
    Feil, P.
    Zeitler, A.
    Nguyen, T. P.
    Pichot, Ch.
    Migliaccio, C.
    Menzel, W.
    [J]. 7TH EUROPEAN RADAR CONFERENCE, 2010, : 33 - 36
  • [4] Smart airport foreign object debris detection rover using LiDAR technology
    Elrayes, Ahmed
    Ali, Mohamed Hag
    Zakaria, Amer
    Ismail, Mahmoud H.
    [J]. INTERNET OF THINGS, 2019, 5 : 1 - 11
  • [5] A Hierarchical Foreign Object Debris Detection Method Using Millimeter Wave Radar
    Wang Baoshuai
    Lan Zhu
    Li Zhengjie
    Wang Xiaobin
    Hu Hongtao
    [J]. JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 40 (11) : 2676 - 2683
  • [6] Video-based Foreign Object Debris detection
    Qunyu, Xu
    Huansheng, Ning
    Weishi, Chen
    [J]. IST: 2009 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES, 2009, : 119 - 122
  • [7] Characterization of Foreign Object Debris Detection at 93.1 GHz using Metallic Cylinder Simulators
    Ja'afar, P. N.
    Idrus, S. M.
    Ambran, S.
    Hamzah, A.
    Mohamed, N.
    Kanno, A.
    Shibagaki, N.
    Kashima, K.
    Kawanishi, T.
    [J]. 2021 8TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTERSCIENCE AND INFORMATICS (EECSI) 2021, 2021, : 273 - 276
  • [8] A New SAR Imaging Scheme in Foreign Object Debris Detection
    Kang, Zhe
    Hong, Tao
    [J]. 2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2012, : 952 - 956
  • [9] Foreign object debris detection for airport runway with video data
    Chen, Weishi
    Li, Jing
    [J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2014, 40 (12): : 1678 - 1684
  • [10] Towards optimal foreign object debris detection in an airport environment
    Noroozi M.
    Shah A.
    [J]. Expert Systems with Applications, 2023, 213
12345