Volume 17 Issue 1
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2017  >  17(1): 149-158
NIE Yin-yu, TANG Zhao, CHANG Jian, LIU Feng-jia, ZHANG Jian-jun. 3D reconstruction of train accident scene based on monocular image[J]. Journal of Traffic and Transportation Engineering, 2017, 17(1): 149-158.
Citation: NIE Yin-yu, TANG Zhao, CHANG Jian, LIU Feng-jia, ZHANG Jian-jun. 3D reconstruction of train accident scene based on monocular image[J]. Journal of Traffic and Transportation Engineering, 2017, 17(1): 149-158.
shu

3D reconstruction of train accident scene based on monocular image

  • 1.

    State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

  • 2.

    National Computer Animation Centre, Bournemouth University, Bournemouth BH12 5BB, Dorset

More Information
  • Author Bio:

    NIE Yin-yu(1992-), male, graduatestudent, +86-28-87634042, nieyinyu0731@163.com

    TANG Zhao(1979-), male, lecturer, PhD, +86-28-87634042, tangzhao@swjtu.edu.cn

  • Received Date: 2016-08-01
  • Publish Date: 2017-02-25
    Abstract
  • To help with making an emergency rescue plan for train accidents, a rapid 3D reconstruction method of train accident scene based on a monocular image was proposed.Taking two camera projection models for different application scenarios into consideration, the SIFT algorithm was introduced to extract and match image feature with the CAD model of an accident train.Geometric constraints between vehicles were provided to transform the 3D reconstruction to solving a nonlinear least square problem with constraints, by which the position and pose of accident subjects were reduced at last.To quantitatively and qualitatively verify the calculation performance of the method, the mimicked train accident scene and the real train accident scene were respectively used to carry out 3D reconstruction.The precise finite camera projection model was applied in the mimicked train accident scene to carry out offline calibration, and the stable pin-hole model was adopted in the real train accident scene to carry out auto calibration.Analysisresult shows that through quantitative analysis of mimicked scene, the maximal and average relative error of 8 nodes for measurement in reconstructing two vehicles are 4.54% and 1.85% respectively.Through qualitative analysis of real scene, the 3D reduction of position and pose for vehicles can also be realized by combining the topographic information correction.The whole accident environmental panorama reduces visually with the help of 3D visualization engine.

     

    • FullText(HTML)
  • loading
    • References(25)
  • [1]
    SMILEY A M. The hinton train disaster[J]. Accident Analysis and Prevention, 1990, 22 (5): 443-455. doi: 10.1016/0001-4575(90)90039-N
    [2]
    WU Yan-han, WANG Fu-zhang. Research on location and optimization of railway emergency rescue center[C]//IEEE. 2011 2nd IEEE International Conference on Emergency Management and Management Sciences. New York: IEEE, 2011: 330-333.
    [3]
    HOU Lin, LAO Yun-teng, WANG Yin-hai, et al. Modeling freeway incident response time: a mechanism-based approach[J]. Transportation Research Part C: Emerging Technologies, 2013, 28 (3): 87-100.
    [4]
    LI Ying, TRINH H, HAAS N, et al. Rail component detection, optimization, and assessment for automatic rail track inspection[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 15 (2): 760-770. doi: 10.1109/TITS.2013.2287155
    [5]
    GIBERT X, PATEL V M, CHELLAPPA R. Robust fastener detection for autonomous visual railway track inspection[C]//IEEE. 2015 IEEE Winter Conference on Applications of Computer Vision. New York: IEEE, 2015: 694-701.
    [6]
    闵永智, 殷超, 党建武, 等. 基于图像色相值突变特征的钢轨区域快速识别方法[J]. 交通运输工程学报, 2016, 16 (1): 46-54. http://transport.chd.edu.cn/article/id/201601006

    MIN Yong-zhi, YIN Chao, DANG Jian-wu, et al. Fast recognition method of rail region based on hue value mutation feature of image[J]. Journal of Traffic and Transportation Engineering, 2016, 16 (1): 46-54. (in Chinese). http://transport.chd.edu.cn/article/id/201601006
    [7]
    TAŞTIMUR C, AKIN E, KARAKÖSE M, et al. Detection of rail faults using morphological feature extraction based image processing[C]//IEEE. 2015 23th Signal Processing and Communications Applications Conference. New York: IEEE, 2015: 1244-1247.
    [8]
    RESENDIZ E, HART J M, AHUJA N. Automated visual inspection of railroad tracks[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14 (2): 751-760. doi: 10.1109/TITS.2012.2236555
    [9]
    CAMARGO L F M, EDWARDS J R, BARKAN C P L. Emerging condition monitoring technologies for railway track components and special trackwork[C]//IEEE. 2011ASME/ASCE/IEEE Joint Rail Conference. New York: IEEE, 2011: 151-158.
    [10]
    廖军洪, 刘仍奎. 基于GIS的铁路行车事故救援系统研究[J]. 中国安全科学学报, 2003, 13 (11): 5-8. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK200311001.htm

    LIAO Jun-hong, LIU Reng-kui. Study on emergency rescue system for accidents of running train based on GIS[J]. China Safety Science Journal, 2003, 13 (11): 5-8. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK200311001.htm
    [11]
    王东亮. 接触网下内电机车客货车辆快速救援起复方法[J]. 铁道机车车辆, 2009, 29 (5): 84-87. https://www.cnki.com.cn/Article/CJFDTOTAL-TDJC200905028.htm

    WANG Dong-liang. Diesel and electric locomotive, coach and lorry car rapid rescue recovery method under contact line[J]. Railway Locomotive and Car, 2009, 29 (5): 84-87. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TDJC200905028.htm
    [12]
    MOHR R, TRIGGS B. Projective geometry for image analysis[R]. Vienna: ISPRS, 1996.
    [13]
    KOLB C, MITCHELL D, HANRAHAN P. A realistic camera model for computer graphics[C]//ACM. Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques. New York: ACM, 1995: 317-324.
    [14]
    HEIKKILJ, SILVN O. A four-step camera calibration procedure with implicit image correction[C]//IEEE. 1997IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York: IEEE, 1997: 1106-1112.
    [15]
    ZHANG Zheng-you. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22 (11): 1330-1334. doi: 10.1109/34.888718
    [16]
    SANTAGATI C, INZERILLO L. 123Dcatch: efficiency, accuracy, constraints and limitations in architectural heritage field[J]. International Journal of Heritage in the Digital Era, 2013, 2 (2): 263-289. doi: 10.1260/2047-4970.2.2.263
    [17]
    TORR P H S, ZISSERMAN A. Feature based methods for structure and motion estimation[J]. Lecture Notes in Computer Science, 2002, 1883: 278-294.
    [18]
    BROWN M, LOWE D G. Automatic panoramic image stitching using invariant features[J]. International Journal of Computer Vision, 2007, 74 (1): 59-73. doi: 10.1007/s11263-006-0002-3
    [19]
    BROWN M, LOWE D G. Recognising panoramas[C]//IEEE. Ninth IEEE International Conference on Computer Vision. New York: IEEE, 2003: 1218-1227.
    [20]
    LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60 (2): 91-110. doi: 10.1023/B:VISI.0000029664.99615.94
    [21]
    JUAN L, GWUN O. A comparison of SIFT, PCA-SIFT and SURF[J]. International Journal of Image Processing, 2009, 3 (4): 143-152.
    [22]
    FISCHLER M A, BOLLES R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 1981, 24 (6): 381-395.
    [23]
    TRIGGS B, MCLAUCHLAN P, HARTLEY R, et al. Bundle adjustment—a modern synthesis[J]. Lecture Notes in Computer Science, 2002, 1883: 298-372.
    [24]
    MORJ J, SORENSEN D C. Computing a trust region step[J]. SIAM Journal on Scientific and Statistical Computing, 1983, 4 (3): 553-572.
    [25]
    HEIKKILJ, SILVN O. Calibration procedure for short focal length off-the-shelf CCD-cameras[C]//IEEE. Proceedings of13th International Conference on Pattern Recognition. New York: IEEE, 1996: 166-170.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (728) PDF downloads(605) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return