Journal of Chongqing Jiaotong University(Natural Science) ›› 2022, Vol. 41 ›› Issue (09): 97-101.DOI: 10.3969/j.issn.1674-0696.2022.09.14
• Transportation Infrastructure Engineering • Previous Articles Next Articles
MA Hua, LIANG Yixing, YANG Guang
Received:
2021-08-24
Revised:
2022-06-14
Published:
2022-09-30
马骅,梁一星,杨光
作者简介:
马 骅(1977—),男,河南许昌人,副教授,博士,主要从事铁道工程检测方面的研究。E-mail:rosyhorse@hotmail.fr
基金资助:
CLC Number:
MA Hua, LIANG Yixing, YANG Guang. Moving Single Camera BSV and Its Application in Structural Surface Crack Measurement[J]. Journal of Chongqing Jiaotong University(Natural Science), 2022, 41(09): 97-101.
马骅,梁一星,杨光. 运动式单摄像机BSV及其结构表面裂缝测量应用[J]. 重庆交通大学学报(自然科学版), 2022, 41(09): 97-101.
Add to citation manager EndNote|Ris|BibTeX
URL: http://xbzk.cqjtu.edu.cn/EN/10.3969/j.issn.1674-0696.2022.09.14
[1] 姚爱玲,王军伟,许敏,等.水泥稳定碎石基层沥青路面隆起开裂数值分析[J].重庆交通大学学报(自然科学版),2021,40(6):105-111. YAO Ailing, WANG Junwei, XU Min, et al. Numerical analysis of the uplift of cement stabilized macadam base asphalt pavement [J]. Journal of Chongqing Jiaotong University (Natural Science), 2021, 40 (6): 105-111 [2] 刘伟,周建行,杨延西.基于平行激光的便携式视觉裂缝测量系统[J].仪器仪表学报,2020,41(11):235-243. LIU Wei, ZHOU Jianhang, YANG Yanxi. Portable vision crack measurement system based on parallel laser [J]. Chinese Journal of Scientific Instrument, 2020, 41(11): 235-243. [3] 中华人民共和国交通运输部. 公路桥涵养护规:JTG 5120-2021[S]. 北京:人民交通出版社,2021. Ministry of Transport of the Peoples Republic of China. Specification for Highway Bridge Culvert Maintenance: JTG 5120-2021 [S]. Beijing: China Communications Press, 2021. [4] 申宇. 基于双目立体视觉的结构变形监测技术研究[D]. 哈尔滨:哈尔滨工业大学, 2011. SHEN Yu. Research on Structural Deformation Monitoring Technology Based on Binocular Stereo Vision [D]. Harbin: Harbin Institute of Technology, 2011. [5] 晏露超. 混凝土结构裂缝的超声波平测法研究[D].长沙: 中南大学,2010. YAN Luchao. Research on Crack Detecting in Concrete Structure with Ultrasonic Single Plane Detecting Method [D]. Changsha: Central South University, 2010. [6] 谢昊威, 韩壮, 丁一宁. 纤维水泥基复合材料传感器用于弯曲裂缝监测[J].水利与建筑工程学报, 2018,16 (4):99-104. XIE Haowei, HAN Zhuang, DING Yining. Flexural crack monitoring based on fiber cement-based composite sensor [J]. Journal of Water Resources and Architectural Engineering, 2018,16 (4): 99-104. [7] 韩晓健,赵志成.基于计算机视觉技术的结构表面裂缝检测方法研究[J].建筑结构学报,2018,39(增刊 1):418-427. HAN Xiaojian, ZHAO Zhicheng. Structural surface crack detection methodbased on computer vision technology [J]. Journal of Building Structures, 2018, 39(Sup 1): 418-427. [8] XU Xuejun, ZHANG Xiaoning. Crack detection of reinforced concrete bridge using video image [J]. Journal of Central South University, 2013, 20(9): 2605-2613. [9] 王琳. 基于双目立体视觉技术的桥梁裂缝测量系统研究[D]. 上海:上海交通大学, 2015. WANG Lin. Research on Bridge Crack Measurement System Based on Binocular Stereo Vision Technology [D]. Shanghai: Shanghai Jiaotong University, 2015. [10] 刘维湘, 郑南宁, 游屈波. 非负矩阵分解及其在模式识别中的应用[J]. 科学通报, 2006, 51(3):241-250. LIU Weixiang, ZHENG Nanning, YOU Qubo. Nonnegative matrix decomposition and its application in pattern recognition [J]. Chinese Science Bulletin, 2006, 51(3):241-250. [11] ZHANG Z. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 22(11):1330- 1334. [12] LEE W, YOO B, KIM D, et al. Robust Camera Motion Estimation for Point-of-View Video Stabilization [M]. Berlin: Springer Press, 2021. [13] NISTER D. An efficient solution to the five-point relative pose problem [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(6): 756-770. [14] LONGUET-HIGGINS H C. A computer algorithm for reconstructing a scene from two projections [J]. Nature, 1981, 293(5828):133-135. [15] HARTLEY R, ZISSERMAN A. Multiple View Geometry in Computer Vision [M]. London: Cambridge University Press, 2004. [16] CANNY J. A computational approach to edge detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(6): 679-698. [17] LOWE D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 112(2):1-28. [18] 张广军. 机器视觉[M]. 北京: 科学出版社, 2008. ZHANG Guangjun. Machine Vision [M]. Beijing: Science Press, 2008. |
[1] | LI Zhiyong, ZHU Shangshu. Road Performance of Light-Colored Pavement Materials [J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(2): 37-43. |
[2] | WANG Jin, SI Qi, LIU Jiahui, TENG Yingyan, ZHANG Boming. Extraction Method of High-Speed Overpass Centerline Based on Vehicle LiDAR Point Cloud [J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(1): 21-26. |
[3] | LUO Rong, LI Chong, CHENG Bowen, YU Xiaohe, FENG Guangle. Image Interpretation of Pavement Reflection Crack Based on GPR Forward Modeling Technology [J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(1): 36-44. |
[4] | KONG Lingyun, ZHANG Yixin, ZENG Yumei, HUANG Linhuo. Establishment and Experimental Verification of Theoretical Model of Asphalt Fracture Performance [J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(1): 45-53. |
[5] | CAI Fengjie, FENG Zhengang, YAO Dongdong, CHEN Tingting, WEI Jincheng. Rapid Detection Method of Asphalt Creep Recovery Performance [J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(1): 54-59. |
[6] | TANG Wei, LI Ning, ZOU Xiaoyong, ZHAN He, YU Xin. Homogeneity of Plant-Produced RAP Mixtures Based on DIP Technology [J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(1): 60-65. |
[7] | LI Zhongyu, FENG Hanqing, CONG Lin, CHEN Yonghui. Void Detection and Determination Method of Concrete Pavement Based on Support Vector Machine [J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(1): 66-73. |
[8] | YUAN Ganglie, CHE Ailan. A Fast Test and Evaluation Method for Spatial Distribution of Moisture Field of Highway Subgrade [J]. Journal of Chongqing Jiaotong University(Natural Science), 2022, 41(09): 100-107. |
[9] | CHEN Long, CHEN Hongbin, HE Zhaoyi, LI Peng, WANG Xiaodong. Research and Judgment of Asphalt Regeneration Performance Based on Routine, Fatigue and Healing-Fatigue Tests [J]. Journal of Chongqing Jiaotong University(Natural Science), 2022, 41(09): 108-116. |
[10] | CAO Haibo, , WANG Shuangjie, , ZHU Hongzhou. Influence of High Cold and Large Temperature Difference on Performance of Asphalt and Asphalt Mixture [J]. Journal of Chongqing Jiaotong University(Natural Science), 2022, 41(09): 117-122. |
[11] | FENG Zhengang, JIAO Xiaolai, WANG Shujuan, ZHANG Jian, YAO Dongdong. Molding Temperature of Asphalt Mixture Based on Volume Parameters and Road Performance [J]. Journal of Chongqing Jiaotong University(Natural Science), 2022, 41(09): 123-129. |
[12] | ZHANG Zhengqi1, LU Chuan1, WANG Suqing1,2, LI Naiqiang3, LI Hongwei3. Performance of High Modulus Asphalt and Its Definition Standard [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(09): 109-116. |
[13] | CAI Bin1, YU Gongxin2, LI Yanwei1, XUE Shanguang1. Performance of Ultra-High Content Rubber Modified Asphalt [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(09): 117-123. |
[14] | ZHU Hongzhou1,2, PAN Yue1, WANG Daqian1, HU Lanxin1, HE Zhaoyi2. Key Influencing Factors of Fatigue Performance of Asphalt Stabilized Macadam [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(09): 124-130. |
[15] | HOU Yun1, 2, 3, DONG Yuanshuai1, 2, 3, LI Zhihao4, HU Sen4, CAO Xuejuan5. Road Performance of SBS Modified Asphalt Mixture Regenerated from Vegetable Oil [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(08): 120-125. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||