Automatic road marking extraction method based on vehicle LiDAR point cloud and panoramic image

doi:10.13474/j.cnki.11-2246.2023.0138

Abstract

Abstract: In view of the traditional artificial way, the man-machine interactive way to extract road marking cost is high, the problem of low efficiency, put forward integration vehicle LiDAR point clouds and panoramic images as the data source, using SCGA-Net network to extract the road marking method, vector quantization and to solve the vehicle in the process of the LiDAR points clouds gathering caused by vehicle cover, such as road repair data missing problem. Experimental results show that the extraction rate and accuracy of road markers are better than the method of only using LiDAR point cloud to extract road markers, and can effectively improve the production efficiency of high-precision maps that automatic driving relies on.

Key words: LiDAR points clouds, panoramic image, road marking, SCGA-Net network, extraction

CLC Number:

P237

NIU Pengtao, CAO Yi, ZHANG Enchao, QI Yang. Automatic road marking extraction method based on vehicle LiDAR point cloud and panoramic image[J]. Bulletin of Surveying and Mapping, 2023, 0(5): 67-71,139.

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