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The Reserch On The Depth Of Rut In Asphalt Pavement Surface Detection System

Posted on:2008-05-29Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2178360215474135Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
With the rapid development of national asphalt highway construction, the occupancy which asphalt highway possess at highway overall mileage is larger and larger. It is necessary to develop the maintained job immediately after asphalt highway has constructed. Because of the asphalt highway can only serve 10 years, the asphalt highway which has been constructed early has damaged in our country. Rut is one of the primary damage of the asphalt highway, it imperil the pavement and compromise the security of driving. Therefore, how to make the precise, impersonal and fast detection with enormous asphalt highway resources is supposed to be significant to the appraisement on the construction and maintenance on national asphalt highway.In this dissertation, focuses on the depth of rut in asphalt pavement surface detection system. In view of existence key problem of the depth of rut in asphalt pavement surface detection system and main function and the technical specification, studying the domestic and foreign advance technology, selecting the method of detection, proposing the solution to key problem.In this dissertation has solved three questions.Firstly, investigating present situation of the domestic and foreign technology, incorporate with main function and the technology, selecting the method of solution. It takes initiative visual technology which based on linear laser as the scheme of the detection, makes the detection without touch, damage and in rapidly, high precision.Secondly, in view of actual environment of detection, selecting proper CCD camera and image collection card, combining it with industry computer, composing main hardware of image analyze system, designing effective image algorithm for the system. The algorithm includes two major phases: 1) removing white noise and acnode noise by threshold segmentation and grayscale neighborhood property respectively; 2) using B-Spline based barycenter algorithm to finish the pavement image thinning.Finally, analyze appraise parameters of the rut. From aspect of driving security, discussing the present appraise parameters, supposing new parameters to describe different characteristic of rut.
Keywords/Search Tags:Asphalt pavement, Depth of rut, Image processing, Appraise parameters of rut
PDF Full Text Request
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