An automatic calibration method for vector map plane accuracy based on SSW point cloud

doi:10.13474/j.cnki.11-2246.2019.0086

Abstract

Abstract: Routine calibration of vector maps is based on sampling and field measurement,with much workload and low automation.To solve this problem,automatic calibration method for vector map plane accuracy based on SSW laser point cloud data is presented.First of all,the vehicle laser scanner is used to obtain the high precision point cloud data on both sides of the road.The point cloud data is filtered,transformed coordinate and verified accuracy.Secondly,based on multi-feature recognition algorithm,SWDY software is used to extract point cloud feature points.Finally,the nearest neighbor method is used to search the same class of featured points and line,the mean square error of matched points and line is calculated.This method is used to verify plane accuracy of vector map with 1:1000 measuring scale in Xinghua city.The experimental results show that 201 of the 205 feature features of the point cloud data are successfully matched.The overall error of the vector map is 0.26 m,and the acquisition and leakage and the obvious error in the vector map can be found.The method can reduce the field workload of existing detection methods,increase the quantity of testing sample,and lower human disturbance factors in the process of detection,which effectively improve the reliability and efficiency of detection.

Key words: laser point cloud, point cloud recognition, vector map, automatic matching, plane accuracy

CLC Number:

P237

QIANG Xinlin, LI Guangwei, WANG Liuzhao, ZHANG Weihong. An automatic calibration method for vector map plane accuracy based on SSW point cloud[J]. 测绘通报, 2019, 0(3): 98-102.

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