High-precision road map making method and key technology

doi:10.13474/j.cnki.11-2246.2022.0028

Abstract

Abstract: This paper describes a high-precision road map acquisition method based on multi-source data such as vehicle-borne mobile mapping system and oblique photogrammetry system, and makes in-depth research on key technologies. Zibo intelligent network test base, the first test section of intelligent network expressway based on automatic driving in China, is taken as an example to carry out multi-source data acquisition such as laser point cloud, panoramic photo, tilt image and high-precision road map elements acquisition. This method is based on the automatic extraction of road 3D vector elements, supplemented by manual collection and compilation, and BeiDou data is tested in the data difference calculation. The example shows that this method is feasible and reliable, effectively improves the high-precision road map acquisition mode, reduces the labor intensity, ensures personal safety, and improves the operation efficiency, which is of great reference value for the production of high-precision road map.

Key words: vehicle-borne mobile mapping, oblique photogrammetry, multi-source data, high-precision road map, automatic extraction

CLC Number:

XU Jie, HOU Fei, CAO Guanghang. High-precision road map making method and key technology[J]. Bulletin of Surveying and Mapping, 2022, 0(1): 155-158.

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