光学技术, 2015, 41 (3): 197, 网络出版: 2015-05-20   

铁路运行环境下的车载相机姿态估计

Attitude estimation of the train-borne camera from the railway-environment
作者单位
1 北京交通大学 交通数据分析与挖掘北京市重点实验室, 北京 100044
2 中国传媒大学 理学院应用数学系, 北京 100024
3 北京理工大学 光电学院, 北京 100081
引用该论文

于欣妍, 罗四维, 许廷发, 王亮, 王胜春. 铁路运行环境下的车载相机姿态估计[J]. 光学技术, 2015, 41(3): 197.

YU Xinyan, LUO Siwei, XU Tingfa, WANG Liang, WANG Shengchun. Attitude estimation of the train-borne camera from the railway-environment[J]. Optical Technique, 2015, 41(3): 197.

参考文献

[1] 侯卫星.0号高速综合检测列车[M].北京: 中国铁道出版社, 2010.

    Hou W X. No. 0 high-speed integrative inspection train [M]. China Railway Press, 2010.

[2] 中国铁道科学研究院.高速综合检测列车技术交流总结[R]. 2006.

    Railway Science Research Institute of China. Technical summary of high-speed integrative inspection train china[R]. 2006.

[3] Chen S E, Quicktimevr. An image-based approach to environment navigation[C]∥ Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, ACM, 1995: 29-38.

[4] Li Q, Ren S. A visual detection system for rail surface defects, systems, man, and cybernetics, Part C: Applications and reviews[J]. IEEETransactions on, 2012, 42(6): 1531-1542.

[5] Deutschl E, Gasser C, Niel A, et al. Defect detection on rail surfaces by a vision based system[C]∥Intelligent Vehicles Symposium, IEEE, 2004: 507-511.

[6] Espino J C, Stanciulescu B. Turnout detection and classification using a modified hog and template matching, intelligent transportation systems[C]//2013 the 16th International IEEE Annual Conference on IEEE, 2013: 2045-2050.

[7] Wang S, Zheng J Y, Luo S. Route panorama acquisition and rendering for high-speed railway monitoring[C]∥ Multimedia and Expo (ICME), 2013 IEEE International Conference , 2013: 1-6.

[8] Alippi C, Casagrande E, Scotti F, et al. Composite real-time image processing for railways track profile measurement[J]. IEEE Transactions on Instrumentation and Measurement, 2000,49(3): 559-564.

[9] Horn B K, Negahdaripour S. Direct passive navigation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, (1): 168-176.

[10] Horn B K, Fang Y, Masaki I. Time to contact relative to a planar surface, intelligent vehicles symposium[C]. IEEE, 2007: 68-74.

[11] Thrun S, et al. Camera calibration[M]. Stanford CS223B Computer Vision, 2003.

[12] Tsai R Y. An efficient and accurate camera calibration technique for 3D machine vision[C].Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Miami Beach FL, 1986: 364-374.

[13] 邱茂林, 马颂德, 李毅. 计算机视觉中相机标定综述[J]. 自动化学报, 2000, 26(1): 43-55.

    Qiu M L, Ma S D, Li Y. Overview of camera calibration for computer vision[J]. ACTA Automatica Sinica, 2000,26(1): 43-55.

[14] 徐杰.机器视觉中摄像机标定Tsai两步法的分析与改进[J]. 计算机工程与科学. 2010,32(04),45-48.

    Xu J. Analyzing and improving the Tsai camera calibration method in machine vision[J]. Computer Engineering & Science, 2010,32(04): 45-48.

[15] 张吴明,钟约先. 基于改进差分进化算法的相机标定研究[J]. 光学技术. 2004,30(6): 720-723.

    ZhangW M, ZhongY X. Camera calibration based on improved differential evolution algorithm[J]. Optical Technique, 2004, 30(6): 720-723.

[16] 陈钊,郭永彩. 体视2D-3cPIV相机标定方法研究[J]. 光学技术 2007,33(6): 881-888.

    Chen Z, GuoY C. Study on method of camera calibration of stereoscopic 2D-3cPIV technique[J].Optical Technique. 2007,33(6): 881-888.

[17] Willert C E. Assessment of camera models f or use in planar velocimetry calibration[J].Experiments in Fluids ,2006 , 41 (2): 135-143.

[18] Roger Y. Tsai a versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV camera and lenses[J] .IEEE Journal of Robotics and Automatuon , 1987 ,RA-3(4): 323-344 .

[19] Zhang Z Y. Aflexible new technique f or camera calib ration[ J] .IEEE Transact ions on Pattern Analysis and Machine Intelligence, 2000 , 22(11): 1330-1334.

[20] Wieneke B. Stereo-PIV using self-calibration on particle images[ J] .Experiments in Fluids , 2005 , 39(2): 267-280.

[21] 马颂德,张正友.计算机视觉计算理论与算法基础[M].北京: 科学出版社,1998.

    Ma S D, Zhang Z Y. Computation theory of computer vision and algorithms[M].Beijing: Science Press,1998.

[22] Westeon P, Ling C, Roberts C, et al. Monitoring vertical track irregularity from in-service railway vehicles[J]. Proceedings of the institution of mechanical engineers, Part F: Journal of Rail and Rapid Transit, 2007,221(1): 75-88.

[23] Strang G. Introduction to linear algebra[M]. Wellesley Cambridge Press, 2003.

[24] Horn B K P. Robot vision[M]. The MIT Press, 1986.

[25] Caprile B, Torre V. Using vanishing points for camera calibration[J].International Journal of Computer Vision, 1990,4(2): 127-139.

[26] Xu Y, Oh S, Hoogs A. A minimum error vanishing point detection approach for uncalibrated monocular images of man-made environments[C]∥Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference, 2013: 1376-1383.

[27] Duda R O, Hart P E. Use of the hough transformation to detect lines and curves in pictures[J]. Communicati- ons of Association for Computing Machinery. 1972,15(1): 11-15.

[28] von Gioi R G, Jakubowicz J, Morel J M, et al. Lsd: A fast line segment detector with a false detection control,pattern analysis andmachine intelligence[J]. IEEE Trans, 2010,32(4): 722-732.

[29] Albert A E, Albert A. Regression and the Moore-Penrose pseudo inverse[M ]. Academic Press NewYork, 1972, 3.

[30] Strang G. Computational science and engineering[M].Wellesley Cambridge Press, 2007.

于欣妍, 罗四维, 许廷发, 王亮, 王胜春. 铁路运行环境下的车载相机姿态估计[J]. 光学技术, 2015, 41(3): 197. YU Xinyan, LUO Siwei, XU Tingfa, WANG Liang, WANG Shengchun. Attitude estimation of the train-borne camera from the railway-environment[J]. Optical Technique, 2015, 41(3): 197.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!