Calibration method of 1D laser rangefinder for large-scale 3D measurement under harsh environment

被引:9
作者
Kang, Jiehu [1 ]
Wu, Bin [1 ]
Wang, Yuchan [2 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Optoelect Engn, Chongqing 400065, Peoples R China
基金
中国国家自然科学基金;
关键词
vision measurement; harsh working environment; laser range-finder; calibration; CENTROID EXTRACTION; CAMERA; LIDAR; ALGORITHM;
D O I
10.1587/elex.17.20200071
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Vision measurement has encountered the bottlenecks in capturing and processing the images of laser spots under harsh working environment of strong sunshine and complex background. Breaking through the camera calibration, we propose that the corresponding relationship between pixel coordinates of laser spots, but not the camera, and measurement distances generated from laser rangefinder is directly calibrated under good working environment. The pixel coordinates of laser spots can be obtained from the calibration model and measurement distances during practical measurement. The imaging of laser spots by camera is no longer needed. Experimental results demonstrate that the measurement errors arc in the millimeter level within 20 m distance outdoors.
引用
收藏
页数:5
相关论文
共 30 条
[1]   Fusion of laser and visual data for robot motion planning and collision avoidance [J].
Baltzakis, H ;
Argyros, A ;
Trahanias, P .
MACHINE VISION AND APPLICATIONS, 2003, 15 (02) :92-100
[2]   A collection of outdoor robotic datasets with centimeter-accuracy ground truth [J].
Blanco, Jose-Luis ;
Moreno, Francisco-Angel ;
Gonzalez, Javier .
AUTONOMOUS ROBOTS, 2009, 27 (04) :327-351
[3]  
Chen Long, 2010, 2010 International Conference on Computer Design and Applications (ICCDA 2010), P598, DOI 10.1109/ICCDA.2010.5541296
[4]   Classification and Semantic Mapping of Urban Environments [J].
Douillard, B. ;
Fox, D. ;
Ramos, F. ;
Durrant-Whyte, H. .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2011, 30 (01) :5-32
[5]   An automated method for large-scale, ground-based city model acquisition [J].
Früh, C ;
Zakhor, A .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 60 (01) :5-24
[6]  
Ganhua Li, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, P3854, DOI 10.1109/IROS.2007.4399041
[7]  
Geiger A, 2012, IEEE INT CONF ROBOT, P3936, DOI 10.1109/ICRA.2012.6224570
[8]  
Gomez-Ojeda R, 2015, IEEE INT CONF ROBOT, P3611, DOI 10.1109/ICRA.2015.7139700
[9]   Automatic centroid extraction method for noisy star image [J].
Gou, Bin ;
Cheng, Yong-mei .
IET IMAGE PROCESSING, 2018, 12 (06) :856-862
[10]  
Hoang VD, 2014, LECT NOTES COMPUT SC, V8397, P561, DOI 10.1007/978-3-319-05476-6_57