3D and 2D LiDAR scan calibration method in heavy-haul railway detection equipment

doi:10.13474/j.cnki.11-2246.2023.0303

Abstract

Abstract: The heavy-haul railway has a large traffic volume, heavy load and fast line wear and deterioration. In order to ensure the transportation safety,it is necessary to carry out static inspection and measurement on the line frequently and regularly.The mobile 3D laser system based on rail can quickly scan and efficiently obtain the 3D reality of railway passage,which is becoming a new method of heavy haul railway infrastructure measurement and detection. However,due to the limitation of the low accuracy of 3D laser data,it cannot accurately measure the track profile. This project designed a heavy duty railway inspection equipment integrating 3D phase laser scanner and 2D line laser scanner. In this paper,the calibration method of 3D and 2D laser scanner is proposed. Experimental result shows that the method can realize the accurate fusion of 3D laser data and 2D line laser data better less than 2 mm,which lays a good data foundation for the subsequent integrated measurement and analysis of railway infrastructure based on millimeter high-precision 3D laser point data.

Key words: heavy-haul railway, mobile measurement technology, multi-source laser data fusion, data calibration

CLC Number:

CAO Haibin, WANG Xinping, WANG Wenbin, ZHANG Zhengjun, YIN Taijun, ZENG Shan. 3D and 2D LiDAR scan calibration method in heavy-haul railway detection equipment[J]. Bulletin of Surveying and Mapping, 2023, 0(10): 105-110.

References

[1] 伍朝辉,武晓博,王亮. 交通强国背景下智慧交通发展趋势展望[J]. 交通运输研究,2019,5(4): 26-36.
[2] 王森荣. 铁路轨道工程数智化建造技术研究与实践[J]. 中国铁路,2022(8): 59-67.
[3] ARASTOUNIA M,OUDE ELBERINK S. Application of template matching for improving classification of urban railroad point clouds[J]. Sensors,2016,16(12): 2112.
[4] 王晓凯. 车载激光雷达在铁路复测中的应用探讨[J]. 铁道建筑,2013,53(2): 81-83.
[5] 李雪义,翟玉平,田源. 车载移动测量系统在铁路线测量中的应用[J]. 测绘通报,2015(12): 131-133.
[6] 汤建凤. 基于车载激光雷达的铁路既有线复测技术研究[J]. 铁道工程学报,2016,33(12): 43-47.
[7] 杜兆宇. 移动三维激光扫描系统在铁路限界测量中的应用研究[J]. 测绘通报,2019(S2): 185-187.
[8] 武永斌,卢小平,陈曦东,等. 机载LiDAR铁路测绘关键技术及应用[J]. 测绘通报,2015(9): 64-67.
[9] YANG Bisheng,FANG Lina. Automated extraction of 3D railway tracks from mobile laser scanning point clouds[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(12): 4750-4761.
[10] ARASTOUNIA M. Automated recognition of railroad infrastructure in rural areas from LIDAR data[J]. Remote Sensing,2015,7(11): 14916-14938.
[11] 刘俊博,刘俊尧,孙淑杰,等. 基于激光点云的铁路边坡表面形变检测方法[J]. 铁道建筑,2021,61(11): 82-85.
[12] 李子奇. 基于线结构光扫描的大尺寸测量系统标定方法研究[D]. 武汉: 湖北工业大学,2021.
[13] 徐寿志. 车载移动测量系统检校技术及其精度评定方法[D]. 武汉: 武汉大学,2016.
[14] 王乐,方玥,王胜春,等. 基于偏振融合的钢轨廓形线结构光成像方法[J]. 光学学报,2020,40(22): 88-96.
[15] 丁鸽,燕立爽,彭健,等. 基于RANSAC算法的隧道点云横断面提取[J]. 测绘通报,2021(9): 120-123.
[16] BESL P J,MCKAY N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1992,14(2): 239-256.