Pavement disease detection method and device based on pan-tilt camera, and related medium

Abstract

The invention discloses a pavement disease detection method and device based on a pan-tilt camera and a related medium, and the method comprises the steps: carrying out the shooting of a to-be-detected road through a pan-tilt camera, and obtaining a pavement overview map; delimiting a to-be-detected road surface area in the road surface overview map, and calculating a rotation range of the pan-tilt camera according to the to-be-detected road surface area; based on the to-be-detected road surface area, automatically planning an inspection path for the pan-tilt camera, and controlling the pan-tilt camera to perform inspection shooting according to the inspection path to obtain a target image; detecting and identifying disease positions and types in the target image through an image processing technology; and summarizing detection and identification results into the road overview map. According to the invention, the cloud platform camera is controlled to automatically inspect so as to detect the road surface diseases, and the road surface diseases are detected under the condition that a large amount of repeated manual operation is not needed and field detection is not needed, so that the detection efficiency and precision of the road surface diseases are improved.

Description

technical field [0001] The present invention relates to the technical field of computer vision and image processing, in particular to a method, device and related medium for detecting road surface diseases based on a pan-tilt camera. Background technique [0002] In recent years, the scale of urban roads and highway mileage have increased rapidly. With a large number of roads being put into use and the continuous increase of traffic volume, the problem of road surface diseases has become increasingly serious, which directly affects the performance and life of roads and reduces the safety of traffic travel. sex. Timely and accurate pavement disease detection has become an important research topic in the maintenance and management of my country's transportation infrastructure. [0003] However, taking crack detection as an example, the period of using traditional manual detection of pavement cracks often reaches several months, which seriously restricts road maintenance decis...

AI Technical Summary

Problems solved by technology

[0003] However, taking crack detection as an example, the period of traditional manual pavement crack detection often reaches several months, which seriously restricts road maintenance decision-making and has lost timeliness to a certain extent; at the same time, manual pavement crack detection is subject to detection technology automation Insufficient level, high degree of subjective judgment of inspectors and other factors, the accuracy and stability are often affected

With the development of computer graphics technology and deep learning technology, image-based pavement disease detection technology has developed rapidly, but there are problems such as limited detection range and poor detection effect on small target diseases.

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