A road surface disease detection method, device and storage medium

Abstract

The invention relates to a road surface disease detection method, device and storage medium. The method includes: emitting laser light to the road surface through at least three vehicle-mounted lasers, and collecting road surface images through vehicle-mounted cameras connected to each of the vehicle-mounted lasers; acquiring image pixel coordinates corresponding to each of the laser points in the road surface image; according to the The image pixel coordinates obtain the ray vectors from the optical center of the vehicle camera to each of the laser points; based on ray intersection, obtain the pixel coordinates of the laser points on the road surface according to the unit projection vector and the ray vectors; A road surface normal vector is obtained according to the pixel coordinates, and a road surface reference point is obtained according to the pixel coordinates and the road surface normal vector. The technical scheme of the invention can ensure the accuracy of the image information of road surface diseases, so that the maintenance work on the road surface can be carried out more smoothly in the later stage.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular to a road surface disease detection method, device and storage medium. Background technique [0002] Pavement diseases, such as cracks, potholes, etc., have caused potential threats to road facilities and driving safety. It is a key operation to maintain pavement service performance and prevent its further degradation through road inspection to detect and treat pavement diseases in time. For road pavement disease detection, there is currently a way to collect road surface images through vehicle-mounted cameras, and information such as disease size can be extracted from them to provide engineering quantity reference for subsequent maintenance operations. However, for example, on long-distance and rough roads, vehicles equipped with cameras will often experience bumps, which will cause the relative positional relationship between the camera and the road sur...

AI Technical Summary

Problems solved by technology

However, for example, on long-distance and rough roads, vehicles equipped with cameras will often experience bumps, which will cause the relative positional relationship between the camera and the road surface to change continuously, thereby affecting the accuracy of the road surface disease information extracted from the images it captures. Accuracy, and affect the later maintenance of the road surface

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