Citation: | DING Shihai, YANG Enhui, WANG Chenping, JI Yaying, LEI Kaiyun, ZHANG Xinrui. Three-Dimensional High-Precision Laser Non-contact Detection of Asphalt Pavement Surface Texture[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 758-764. doi: 10.3969/j.issn.0258-2724.20181056 |
董斌, 唐伯明, 刘唐志. 冰雪路面事故成因分析及对策探讨[J]. 交通运输研究, 2010(22): 137-140.
DONG Bin, TANG Baiming, LIU Tangzhi. Cause analysis and countermeasure study on snow-icing road pavement accidents[J]. Transport Research, 2010(22): 137-140.
|
朱洪洲,廖亦源. 沥青路面抗滑性能研究现状[J]. 公路,2018(1): 35-46.
ZHU Hongzhou, LIAO Yiyuan. Present situations of research on anti-skid property of asphalt pavement[J]. Highway, 2018(1): 35-46.
|
桂志敬,刘恒权,张智勇. 路面纹理构造特征表征与抗滑性能检测技术研究进展[J]. 公路交通科技(应用技术版),2012,5(4): 55-59.
|
刘建华. 路面抗滑性能检测与评价技术研究[D]. 郑州: 郑州大学, 2002.
|
张艳玲. 全国公路总里程477.35万公里 高速公路13.65万公里[DB/OL]. (2018-08-24)[2018-11-23]. http://www.chinahighway.com/news/2018/1183657.php
|
中华人民共和国交通运输部. 公路路基路面现场测试规程: JTG E60—2008[S]. 北京: 人民交通出版社.
|
中华人民共和国交通运输部. 公路工程质量检验评定标准: JTG F80/1—2004[S]. 北京: 人民交通出版社.
|
WANG K C P. Design and implementations of automated systems for pavement surface distress survey[J]. Journal of Infrastructure Systems, 2000, 6(1): 24-32. doi: 10.1061/(ASCE)1076-0342(2000)6:1(24)
|
FUKUHARA T, TERADA K, NAGAO M, et al. Automatic pavement-distress-survey system[J]. Journal of Transportation Engineering, 1990, 116(3): 280-286. doi: 10.1061/(ASCE)0733-947X(1990)116:3(280)
|
王端宜,李维杰,张肖宁. 用数字图像技术评价和测量沥青路表面构造深度[J]. 华南理工大学学报(自然科学版),2004,32(2): 42-45.
|
宋永朝,闫功喜,隋永芹,等. 基于数字图像处理技术的沥青路面表面纹理构造分布[J]. 中南大学学报(自然科学版),2014,45(11): 4075-4080.
SONG Yongchao, YAN Gongxi, SUI Yongqing, et al. Texture structure distribution of asphalt pavement surface based on digital image processing technology[J]. Journal of Central South University (Science and Technology), 2014, 45(11): 4075-4080.
|
李伟,孙朝云,呼延菊,等. 基于激光3D数据的沥青路面构造深度检测方法[J]. 中外公路,2016,36(5): 9-12.
|
周兴林,蒋难得,肖旺新,等. 基于激光视觉的沥青路面构造深度测量方法[J]. 中国公路学报,2014,27(3): 11-16.
ZHOU Xinglin, JIANG Nande, XIAO Wangxin, et al. Measurement method for mean texture depth of asphalt pavement based on laser vision[J]. China Journal of Highway and Transport, 2014, 27(3): 11-16.
|
文静. 数字化技术评价沥青路面构造深度研究[D]. 西安: 长安大学, 2009.
|
窦光武. 基于断面高程的路面构造深度计算模型研究[J]. 公路交通科技,2015,32(1): 50-56. doi: 10.3969/j.issn.1002-0268.2015.01.009
DOU Guangwu. Research of calculation model of pavement texture depth based on profile elevation[J]. Journal of Highway and Transportation Research and Development, 2015, 32(1): 50-56. doi: 10.3969/j.issn.1002-0268.2015.01.009
|
ALFREDO C, FEDERICO M, STEFANO M. Laser-triangulation device for in-line measurement of road texture at medium and high speed[J]. Mechanical Systems and Signal Processing, 2010, 5(7): 2225-2234.
|
YANG G, LI Q, ZHAN Y, et al. Convolutional neural network–based friction model using pavement texture data[J]. Journal of Computing in Civil Engineering, 2018, 32(6): 165-176.
|
LI Q, YANG G, WANG C P, et al. Novel macro- and micro texture indicators for pavement friction by using high-resolution three-dimensional surface data[J]. Journal of the Transportation Research Board, 2017, 26(41): 164-176.
|
ALAMDARLO M N, HESAMI S. Optimization of the photometric stereo method for measuring pavement texture properties[J]. Measurement, 2018, 10(127): 406-413.
|
王晓嘉,高隽,王磊. 激光三角法综述[J]. 仪器仪表学报,2004,25(4): 601-604.
WANG Xiaojia, GAO Jun, WANG Lei. Survey on the laser triangulation[J]. Chinese Journal of Scientific Instrument, 2004, 25(4): 601-604.
|
WANG C P. Elements of automated survey of pavements and a 3D methodology[J]. Journal of Modern Transportation, 2011, 19(1): 51-57. doi: 10.1007/BF03325740
|
TSAI Y C J, LI F. Critical assessment of detecting asphalt pavement cracks under different lighting and low intensity contrast conditions using emerging 3D laser technology[J]. Journal of Transportation Engineering, 2012, 138(5): 649-656. doi: 10.1061/(ASCE)TE.1943-5436.0000353
|
OUYANG W, XU B. Pavement cracking measurements using 3D laser-scan images[J]. Measurement Science & Technology, 2013, 24(10): 105204.1-105204.9.
|
李少斌. MLS_13PTR多功能激光路面检测仪检测指标的相关性研究[D]. 长沙: 长沙理工大学, 2013.
|