Road marking extraction method from mobile LiDAR point clouds based on multi-loss fusion and shuffle attention
The accurate extraction of road markings is of great significance in the development of advanced driving assistance system and high precision map. Since the point clouds have uneven distribution on reflection intensity and density or low contrast between road line and its surrounding road surface,the existing thresholding method is difficult to extract road line accurately,So this paper proposes the vehicle-mounted LiDAR point cloud road marking extraction method based on multi-loss fusion and mixing and shuffling attention,and selects a typical highway test sample area to conduct the road marking extraction test and compare and analyze the accuracy of the method with that of the conventional method. The accuracy comparison analysis is carried out with the conventional method. The test shows that the method in this paper is better than other methods in improving road marking extraction accuracy,which is expected to better serve the development and application of high-precision maps for autonomous driving.
multi-loss fusionshuffle attentionmobile LiDAR point cloudsroad marking extraction
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