Pavement three-dimensional disease measurement method based on unmanned aerial vehicle oblique photography

Abstract

The invention relates to a pavement three-dimensional disease measurement method based on unmanned aerial vehicle oblique photography. The method comprises the following steps of: carrying out primarypavement detection on a pavement before traffic on the pavement without diseases, and calling pavement data acquired before traffic as master data; performing road surface detection again according to road maintenance requirements after traffic, collecting current road surface data, and performing oblique photography on the road surface by using an unmanned aerial vehicle during road surface detection to construct a digital surface model and a digital elevation model in corresponding periods respectively; performing superposition calculation on digital elevation models in different periods toobtain elevation changes of different positions of a pavement, mapping the elevation change of each position to a pixel value of each pixel point, and judging a pavement damage type, a damage grade,a disease characteristic and a disease position through unsupervised learning and image processing in combination with engineering specifications, and realizing intelligent identification of three-dimensional diseases. According to the method, identification grading and positioning of pavement three-dimensional diseases are realized, and the diseases are visually displayed.

Description

technical field [0001] The invention relates to the field of UAV oblique photography and road surface three-dimensional disease identification and maintenance, in particular to a road surface three-dimensional disease measurement method based on UAV oblique photography. Background technique [0002] In order to ensure the safe driving of vehicles on the road and prolong the service life of the road, it is necessary to regularly detect and maintain the road, and the detection and identification of the three-dimensional disease of the road surface is a necessary and basic work. The three-dimensional diseases of the pavement mainly include potholes, ruts, subsidence and wave wrapping. [0003] At present, the three-dimensional pavement disease detection methods mainly use road inspection vehicles and manual inspection. The road inspection vehicle is equipped with laser sensing equipment such as a laser deflection tester and a vehicle-mounted bump accumulator. The on-board equ...

AI Technical Summary

Problems solved by technology

[0004] Both inspection vehicles and manual inspections will affect the normal use of roads, especially on expressways. Manual inspections may even require road closures. At the same time, it will consume a lot of manpower, material and financial resources, and it is difficult to guarantee the inspection efficiency.

Manual detection is easily affected by subjective judgment and lacks consistent judgment standards

At the same time, it cannot visually display and track the three-dimensional disease characteristics, which makes it difficult for later maintenance

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