• Infrared and Laser Engineering
  • Vol. 47, Issue 6, 617007 (2018)
Hong Ziming1、*, Chen Kun1, Jing Genqiang2, and Ai Qingsong1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/irla201847.0617007 Cite this Article
    Hong Ziming, Chen Kun, Jing Genqiang, Ai Qingsong. A real-time detection approach to pavement rutting based on line laser in nature condition[J]. Infrared and Laser Engineering, 2018, 47(6): 617007 Copy Citation Text show less
    References

    [1] He Song, Chang Licheng, Jing Genqiang, et al. Vehicle bearing road laser rut-meter JT/T677-2009. People′s Republic of China Transport Industry Standards[S]. Beijing: People Transportation Press, 2009. (in Chinese)

    [2] He Song, Li Fujin, Chang Chengli, et al. Field test methods of subgrade and pavement for highway engineering JT/T677-2009. People′s Republic of China industry standards[S]. Beijing: People Transportation Press, 2008. (in Chinese)

    [3] Xu Weidong, Yan Kai, Wang Xin. Pavement rutting detection system based on structured light[J]. Journal of Highway and Transportation Research and Development, 2009(6): 55-66. (in Chinese)

    [4] Cao Ting, Wang Weixing, Yang Nan, et al. Detection method for the depth of pavement broken block in cement concrete based on 3D laser scanning technology[J]. Infrared and Laser Engineering, 2017, 46(2): 0206006. (in Chinese)

    [5] Shi Y, Cui L, Qi Z, et al. Automatic road crack detection using random structured forests[J]. IEEE Transactions on Intelligent Transportation Systems, 2016,17(12): 3434-3445.

    [6] Wang Xin, Tang Zhenming. A new automatic rutting detection method for pavement[J]. Computer Engineering and Applications, 2008, 44(10): 246-248. (in Chinese)

    [7] Han Yi, Wu Chuna, Li Shanhu. Research and realization of multi beam common beam laser wheel tracking detector [J]. Computer Engineering and Design, 2010, 31(6): 1347-1350. (in Chinese)

    [8] Guo Xinxin, Hui Bing. Assessment of rut depth measurement accuracy of point-based rut bar systems using 3D line laser imagine technology [J]. Road Machinery and Construction Mechanization, 2016, 33(9): 113-118. (in Chinese)

    [9] Li Zhonghua. Application of laser profiler in pavement roughness and rut detection [J]. Transportation Science and Technology, 2004(3): 7-9. (in Chinese)

    [10] Li Li, Sun Lijun, Tan Shengguang, et al. Line-structured light image processing procedure for pavement rut Detection [J]. Journal of Tongji University, 2013, 41(5): 710-715. (in Chinese)

    [11] Huang Xuemei, Liu Zhiwei, Zhao Jibin. Surface detection method with line structured light in complex environment [J]. Optics and Precision Engineering, 2016, 24(10s): 682-689. (in Chinese)

    [12] Liu Wei, Zhang Yang, Gao Peng, et al. Sub-pixel center extraction method of laser stripe center based on hierarchical processing [J]. Infrared and Laser Engineering, 2017, 46(10): 1017010. (in Chinese)

    [13] Feng Ping, Liu Zhen. Automatic localization method of the multi-planar strip in rudder angle measurement [J]. Chinese Optics, 2014, 7(6): 911-916. (in Chinese)

    [14] Xu Wei, Tang Zhenmin, Lv Jianyong. Pavement crack detection based on image saliency [J]. Journal of Image and Graphics, 2013, 18(1): 69-77. (in Chinese)

    Hong Ziming, Chen Kun, Jing Genqiang, Ai Qingsong. A real-time detection approach to pavement rutting based on line laser in nature condition[J]. Infrared and Laser Engineering, 2018, 47(6): 617007
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