[1] 李德仁. 展望大数据时代的地球空间信息学[J]. 测绘学报, 2016, 45(4):379-384. DOI:10.11947/j.AGCS.2016.20160057. LI Deren. Towards Geo-spatial Information Science in Big Data Era[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(4):379-384. DOI:10.11947/j.AGCS.2016.20160057. [2] 葛纪坤, 万宏德, 李军吉. 精密工程测量的发展与展望[J]. 地理空间信息, 2015(1):155-156. GE Jikun, WAN Hongde, LI Junji. Development and Prospect of Precision Engineering Surveying[J]. Geospatial Information, 2015(1):155-156. [3] 王丹. 工程测量的发展与需求[J]. 测绘通报, 2003(4):18-21. DOI:10.3969/j.issn.0494-0911.2003.04.006. WANG Dan. Engineering Surveying:Development and Demands[J]. Bulletin of Surveying and Mapping, 2003(4):18-21. DOI:10.3969/j.issn.0494-0911.2003.04.006. [4] 李清泉, 毛庆洲. 车载道路快速检测与测量技术研究[J]. 交通信息与安全, 2009, 27(1):7-10. LI Qingquan, MAO Qingzhou. Land-borne Pavement Rapid Test and Measurement[J]. Journal of Transport Information and Safety, 2009, 27(1):7-10. [5] 张德津, 李清泉. 公路路面快速检测技术发展综述[J]. 测绘地理信息, 2015, 40(1):1-8. ZHANG Dejin, LI Qingquan. A Review of Pavement High Speed Detection Technology[J]. Journal of Geomatics, 2015, 40(1):1-8. [6] 王刚. 路面病害光学无损检测技术——基于超小波与分形理论的算法研究[D]. 南京:南京理工大学, 2007. WANG Gang. The Optical Nondestructive Examination for Pavement Distress-Algorithm Research Based on Super Wavelet and Multifractal Theorem[D]. Nanjing:Nanjing University of Science and Technology, 2007. [7] 王泉. 北斗卫星通信授时系统设计及应用[D]. 西安:西北大学, 2009. WANG Quan. Design and Application of Beidou Satellite Communication Time Service System[D]. Xi'an:Northwestern University, 2009. [8] CHEN Qijin, NIU Xiaoji, ZHANG Quan, et al. Railway Track Irregularity Measuring by GNSS/INS Integration[J]. Navigation, 2015, 62(1):83-93. [9] 李清泉, 毛庆洲, 高庆武, 等. 高精度时空数据获取的多传感器集成同步控制方法和系统:中国, CN101949715A[P]. 2011-01-19. LI Qingquan, MAO Qingzhou, GAO Qingwu, et al. Multi-sensor Integrated Synchronous Control Method and System for High-precision Time-space Space Data Acquisition:China, CN101949715A[P]. 2011-01-19. [10] LI Qingquan, LIU Yong, MAO Qingzhou, et al. Data Acquisition, Analysis and Applications of Multi-sensor Integration[J]. Engineering Sciences, 2010, 8(1):2-10. [11] 毛庆洲. 车载道路快速检测与测量关键技术研究[D]. 武汉:武汉大学, 2008. MAO Qingzhou. Research on Key Technique of Land-borne based Pavement Rapid Test and Measurement[D]. Wuhan:Wuhan University, 2008. [12] 张亮. 地面复杂环境下移动三维测量精度改善方法研究[D]. 武汉:武汉大学, 2015. ZHANG Liang. Accuracy Improvement for Mobile Mapping in Complex Ground Environments[D]. Wuhan:Wuhan University, 2015. [13] MAO Qingzhou, ZHANG Liang, LI Qingquan, et al. A Least Squares Collocation Method for Accuracy Improvement of Mobile LiDAR Systems[J]. Remote Sensing, 2015, 7(6):7402-7424. [14] ZHANG Liang, MAO Qingzhou, LI Qingquan, et al. An Accuracy-Improvement Method for GPS/INS Kinematic Levelling for Use in Linear Engineering Surveying Projects[J]. Measurement, 2014, 54:22-30. [15] 杨必胜, 魏征, 李清泉, 等. 面向车载激光扫描点云快速分类的点云特征图像生成方法[J]. 测绘学报, 2010, 39(5):540-545. YANG Bisheng, WEI Zheng, LI Qingquan, et al. A Classification-oriented Method of Feature Image Generation for Vehicle-borne Laser Scanning Point Clouds[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(5):540-545. [16] 程效军, 贾东峰, 程小龙. 海量点云数据处理理论与技术[M]. 上海:同济大学出版社, 2014. CHENG Xiaojun, JIA Dongfeng, CHENG Xiaolong. Theory and Technology of Massive Point Cloud Data Processing[M]. Shanghai:Tongji University Press, 2014. [17] 陈利, 贾友, 张尔严. 激光雷达技术及其应用[J]. 河南理工大学学报(自然科学版), 2009, 28(5):583-586. CHEN Li, JIA You, ZHANG Eryan. LiDAR Technology and Its Application[J]. Journal of Henan Polytechnic University (Natural Science), 2009, 28(5):583-586. [18] 王愉龙. 公路路面裂缝三维检测技术[J]. 电子测试, 2016(7):49-50. WANG Yulong. 3D Road Surface Cracks Detection Technology[J]. Electronic Test, 2016(7):49-50. [19] 赵海伟. 路面裂缝三维检测算法研究[D]. 西安:长安大学, 2015. ZHAO Haiwei. The Research on 3D Pavement Crack Detection Algorithm[D]. Xi'an:Chang'an University, 2015. [20] 李清泉, 毛庆洲, 熊智敏, 等. 基于深度和灰度图像的路面裂缝检测装置和方法:中国, CN104005325A[P].2014-08-27. LI Qingquan, MAO Qingzhou, XIONG Zhimin, et al. Pavement Crack Detecting Device and Method Based on Depth and Gray Level Images:China, CN104005325A[P]. 2014-08-27. [21] 李清泉, 毛庆洲, 靳华中, 等. 融合影像梯度信息和分水岭方法的裂缝检测方法:中国, CN104008553B[P]. 2017-03-22. LI Qingquan, MAO Qingzhou, JIN Huazhong, et al. Crack Detection Method with Image Gradient Direction Histogram and Watershed Method Conflated:China, CN104008553B[P]. 2017-03-22. [22] 刘瑶. 基于激光雷达的三维典型地面目标识别技术研究[D]. 武汉:华中科技大学, 2011. LIU Yao. Study of Typical Three-Dimensional Ground Target Recognition Based on Laser Radar[D]. Wuhan:Huazhong University of Science and Technology, 2011. [23] 蔚晓丹. 国际平整度指数IRI作为路面平整度评价指标的研究[J]. 公路交通科技, 1999, 16(S1):9-13. WEI Xiaodan. Research on the International Roughness Index (IRI) as the Pavement Roughness Index[J]. Journal of Highway and Transportation Research and Development, 1999, 16(S1):9-13. [24] 毛庆洲, 叶浩, 丁诗雄, 等. 基于小波变换的路面平整度自适应提取算法[J]. 中国公路学报, 2015, 28(10):11-17. MAO Qingzhou, YE Hao, DING Shixiong, et al. Adaptive Extraction Algorithm of Pavement Roughness Based on Wavelet Transformation[J]. China Journal of Highway and Transport, 2015, 28(10):11-17. [25] 李清泉, 雷波, 毛庆洲, 等. 利用激光三角法进行快速车辙检测[J]. 武汉大学学报(信息科学版), 2010, 35(3):302-307. LI Qingquan, LEI Bo, MAO Qingzhou, et al. A Fast Method for Pavement Ruts Measuring with Laser Triangulation[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3):302-307. [26] 张德津, 李清泉, 何莉. 一种新的激光车辙深度测量方法研究[J]. 光学学报, 2013, 33(1):115-121. ZHANG Dejin, LI Qingquan, HE Li. A New Method for Laser Rut Depth Measurement[J]. Acta Optica Sinica, 2013, 33(1):115-121. [27] LI Qingquan, ZOU Qin, MAO Qingzhou, et al. Efficient Calibration of a Laser Dynamic Deflectometer[J]. IEEE Transactions on Instrumentation and Measurement, 2013, 62(4):806-813. [28] 张德津. 基于路面变形速度的弯沉测量方法[D]. 武汉:武汉大学, 2012. ZHANG Dejin. Deflection Measurement Method Based on the Velocities of Pavement Deflections[D]. Wuhan:Wuhan University, 2012. [29] ZOU Qin, CAO Yu, LI Qingquan, et al. CrackTree:Automatic Crack Detection from Pavement Images[J]. Pattern Recognition Letters, 2012, 33(3):227-238. [30] LI Qingquan, ZOU Qin, ZHANG Daqiang, et al. FoSA:F* Seed-Growing Approach for Crack-Line Detection from Pavement Images[J]. Image and Vision Computing, 2011, 29(12):861-872. [31] 李清泉, 胡庆武. 基于图像自动匀光的路面裂缝图像分析方法[J]. 公路交通科技, 2010, 27(4):1-5, 27. LI Qingquan, HU Qingwu. A Pavement Crack Image Analysis Approach Based on Automatic Image Dodging[J]. Journal of Highway and Transportation Research and Development, 2010, 27(4):1-5, 27. [32] 李清泉, 邹勤, 毛庆洲. 基于最小代价路径搜索的路面裂缝检测[J]. 中国公路学报, 2010, 23(6):28-33. LI Qingquan, ZOU Qin, MAO Qingzhou. Pavement Crack Detection Based on Minimum Cost Path Searching[J]. China Journal of Highway and Transport, 2010, 23(6):28-33. [33] 邹勤, 李清泉, 毛庆洲, 等. 利用目标点最小生成树的路面裂缝检测[J]. 武汉大学学报(信息科学版), 2011, 36(1):71-75. ZOU Qin, LI Qingquan, MAO Qingzhou, et al. Target-Points MST for Pavement Crack Detection[J]. Geomatics and Information Science of Wuhan University, 2011, 23(6):71-75. [34] LI Qingquan, ZHANG Dequan, ZOU Qin, et al. 3D Laser Imaging and Sparse Points Grouping for Pavement Crack Detection[C]//25th European Signal Processing Conference (EUSIPCO). 2017. [35] ZHANG Dejin, LI Qingquan, CHEN Ying, et al. An Efficient and Reliable Coarse-to-fine Approach for Asphalt Pavement Crack Detection[J]. Image and Vision Computing, 2017, 57:130-146. [36] 李清泉, 刘向龙. 路面裂缝影像几何特征提取算法[J]. 中国科技论文在线, 2007, 2(7):517-522. LI Qingquan, LIU Xianglong. An Algorithm to Image-based Pavement Cracks Geometry Features Extraction[J]. Sciencepaper Online, 2007, 2(7):517-522. [37] 刘向龙, 李清泉. 基于金字塔结构的海量路面影像破损统计模型[J]. 武汉大学学报(信息科学版), 2008, 33(4):430-432, 436. LIU Xianglong, LI Qingquan. A Pyramid-based Cracks Statistical Modal for Massive Pavement Images[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4):430-432, 436. [38] 冯超. 接触轨几何参数高精度动态测量方法研究[D]. 成都:西南交通大学, 2014. FENG Chao. Study of the High Precision Dynamic Measurement Method of Contact Rail Geometric Parameters[D]. Chengdu:Southwest Jiao Tong University, 2014. [39] 毛庆洲. 铁路弹条扣件紧固状态自动检查方法及其装置:中国, CN103061219A[P].2013-04-24. MAO Qingzhou. Method and Device for Automatically Checking Fastening States of Railway Fasteners And Spring Fasteners:China, CN103061219A[P]. 2013-04-24. [40] 吴梦, 陈建政, 林森. 基于图像处理的轨道扣件状态检测[J]. 信息与电脑, 2013(1):46-47. WU Meng, CHEN Jianzheng, LIN Sen. Track Fastener State Detection Based on Image Processing[J]. China Computer & Communication, 2013(1):46-47. [41] 张利斌. 基于结构光技术的高速铁路道岔三维检测及应用研究[D]. 成都:西南交通大学, 2016. ZHANG Libin. Research on 3D Detection and Application of High-speed Railway Turnout Based on Structured Light Technology[D]. Chengdu:Southwest Jiao Tong University, 2016. [42] 王旺华, 毛庆洲, 熊智敏. 钢轨几何尺寸自动测量系统研究[J]. 中国铁道科学, 2012, 33(S1):117-121. WANG Wanghua, MAO Qingzhou, XIONG Zhimin. Research on the Automatic Measurement System for Rail Physical Dimension[J]. China Railway Science, 2012, 33(S1):117-121. [43] 徐其瑞, 许建明, 黎国清. 轨道检查车技术的发展与应用[J]. 中国铁路, 2005(9):37-39. XU Qirui, XU Jianming, LI Guoqing. Development and Application of the Technology of Track Inspection Car[J]. Chinese Railways, 2005(9):37-39. |