Freight train gauge-exceeding detection based on three-dimensional stereo vision measurement

被引:15
作者
Zhang, Yixin [1 ]
Wang, Shun [1 ]
Zhang, Xuping [1 ]
Xie, Fei [1 ]
Wang, Jiaqi [1 ]
机构
[1] Nanjing Univ, Inst Opt Commun Engn, Nanjing 210093, Peoples R China
关键词
Freight train gauge-exceeding detection; Stereo vision measurement; Stripe extraction; 3D reconstruction; SHAPE MEASUREMENT; PERFORMANCE ANALYSIS; CALIBRATION; IMAGES;
D O I
10.1007/s00138-012-0444-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a method for freight train gauge-exceeding detection based on three-dimensional (3D) stereo vision measurement. To reach high measurement accuracy under large-scale situation, the factors which influence the 3D measurement error are analyzed in detail. Algorithm to accurately extract the laser stripe feature projected by the measurement system is described. With the obtained stripe features, the 3D structure of the freight train can be reconstructed with nonlinear optimization procedure. Specially designed targets are used to identify the global coordinate system for gauge-exceeding detection. A prototype has been developed and the reliability and accuracy have been demonstrated by external field experiment.
引用
收藏
页码:461 / 475
页数:15
相关论文
共 50 条
  • [1] Freight train gauge-exceeding detection based on three-dimensional stereo vision measurement
    Yixin Zhang
    Shun Wang
    Xuping Zhang
    Fei Xie
    Jiaqi Wang
    Machine Vision and Applications, 2013, 24 : 461 - 475
  • [2] Three-dimensional infrared imaging method based on binocular stereo vision
    Sun, Junhua
    Ma, Haining
    Zeng, Debing
    OPTICAL ENGINEERING, 2015, 54 (10)
  • [3] LiDAR-Assisted UAV Stereo Vision Detection in Railway Freight Transport Measurement
    Li, Jiale
    Zhou, Wei
    Gong, Wei
    Lu, Zhaijun
    Yan, Hongkai
    Wei, Wanhui
    Wang, Zhixin
    Shen, Chao
    Pang, Jiahong
    DRONES, 2022, 6 (11)
  • [4] Advances in Three-Dimensional Imaging Technologies Based on Single-Camera Stereo Vision
    Liu Xingsheng
    Li Anhu
    Deng Zhaojun
    Chen Hao
    LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (14)
  • [5] Three-Dimensional Reconstruction of Secondary Arc Based on Improved Binocular Stereo Vision Method
    Cong, Haoxi
    Wang, Yuxuan
    Han, Dong
    Qiao, Lipan
    Wang, Shengyao
    Zhao, Weijia
    Li, Qingmin
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [6] Microscopic Three-Dimensional Measurement Based on Telecentric Stereo and Speckle Projection Methods
    Chen, Kepeng
    Shi, Tielin
    Liu, Qiang
    Tang, Zirong
    Liao, Guanglan
    SENSORS, 2018, 18 (11)
  • [7] Multi-baseline stereo vision for three-dimensional object reconstruction
    Gonzalez-Ruiz, Martin
    Diaz-Ramirez, Victor H.
    Juarez-Salazar, Rigoberto
    OPTICS AND PHOTONICS FOR INFORMATION PROCESSING XVI, 2022, 12225
  • [8] Precision Evaluation of Three-dimensional Feature Points Measurement by Binocular Vision
    Xu, Guan
    Li, Xiaotao
    Su, Jian
    Pan, Hongda
    Tian, Guangdong
    JOURNAL OF THE OPTICAL SOCIETY OF KOREA, 2011, 15 (01) : 30 - 37
  • [9] Stereo-vision three-dimensional reconstruction of curvilinear structures imaged with a TEM
    Oveisi, Emad
    Letouzey, Antoine
    De Zanet, Sandro
    Lucas, Guillaume
    Cantoni, Marco
    Fua, Pascal
    Hebert, Cecile
    ULTRAMICROSCOPY, 2018, 184 : 116 - 124
  • [10] Automatic three-dimensional reconstruction based on four-view stereo vision using checkerboard pattern
    Xiong Jie
    Zhong Si-dong
    Liu Yong
    Tu Li-fen
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2017, 24 (05) : 1063 - 1072