Abstract
Pavement marking occupies an important position in the road traffic safety operation. A large number of domestic and foreign research and practice has proved that the effective use and maintenance of road signs and markings reduce traffic accidents and improve the capacity of great significance. The main content of this paper is the design of mobile video image acquisition device to road damage to the road traffic marking defect detection, video image to carry out research on road marking based on wear and breakage from video images. The process is random image acquisition of pavement markings, respectively the image pre-processing, image binarization, marking angle correction, marking extraction and detection. Finally, developing software on marking the wear and damage degree detection based on Matlab software then have an image processing experiments. The results show that the software can accurately detect the road wear and damage situation.
Highlights
With the rapid development of human science and technology, the car is playing a more and more important role in people's life
The development of the automobile has improved people's living standards, but at the same time, it brings a lot of traffic accidents
Related materials show: only in 2009, China has thousand people died in traffic accidents, accounted for one fifth of the world's total [1]
Summary
With the rapid development of human science and technology, the car is playing a more and more important role in people's life. Related materials show: only in 2009, China has thousand people died in traffic accidents, accounted for one fifth of the world's total [1]. This makes us alert and aware of the urgency to solve the problem of traffic safety. Proposed a novel reconstruction lane line algorithm, which is based on the geometric characteristics of lane lines and gray information to construct constraint equations. It only processes the edge of the lane, which can reduce the processing time. This article is based on the Matlab on the pavement marking for wear, damage detection, develop wear and tear software
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