Over the last 20 years road pavement imaging has become a routine output from annual pavement assessment survey regimes across the world. Hitherto the traditional use of road pavement images in road condition assessme...Over the last 20 years road pavement imaging has become a routine output from annual pavement assessment survey regimes across the world. Hitherto the traditional use of road pavement images in road condition assessment has been crack detection, rather than direct analysis of image features such as aggregate loss, changes in surface texture or deterioration of road markings. Any attempt to assess pavement condition change from features in a sequence of such images captured months or years apart requires image registration. A method for registering road pavement images is presented that makes use of an affine transformation based on pseudo-features within images. An affine trans- formation is considered suitable for registering road pavement images because of the linear way in which pavements are surveyed. Pseudo feature points are found using a modified corner detector, and then matching points between reference and template im- ages established via a correlation analysis of pavement image texture. With 4 such points it is possible to establish an affine transformation between the images. The method is tested on pavement images captured on three UK sites between winter 2014/15 and 2015/16. The method successfully registered 98% of images captured on sites typical of the UK＇s strategic road network, and 65% of images captured on a site typical of the UK＇s minor road network.展开更多
为研究聚合物改性水泥混凝土路面噪声特性,分析不同路面表面纹理的噪声大小,采用室内轮胎下落法对不同聚合物改性水泥混凝土(PCC)路面噪声进行测试,结果表明,集料粒径越大,路面降噪效果越明显;PCC路面构造深度与路面噪声值呈良好的线性...为研究聚合物改性水泥混凝土路面噪声特性,分析不同路面表面纹理的噪声大小,采用室内轮胎下落法对不同聚合物改性水泥混凝土(PCC)路面噪声进行测试,结果表明,集料粒径越大,路面降噪效果越明显;PCC路面构造深度与路面噪声值呈良好的线性关系,且构造深度越大,噪声值越小;通过对不同类型路面噪声进行测试,PCC路面具有丰富的路面表面纹理,与普通刻槽水泥混凝土路面相比较,PCC路面可降低噪声2.7 d B(A),降噪效果明显.展开更多
文摘Over the last 20 years road pavement imaging has become a routine output from annual pavement assessment survey regimes across the world. Hitherto the traditional use of road pavement images in road condition assessment has been crack detection, rather than direct analysis of image features such as aggregate loss, changes in surface texture or deterioration of road markings. Any attempt to assess pavement condition change from features in a sequence of such images captured months or years apart requires image registration. A method for registering road pavement images is presented that makes use of an affine transformation based on pseudo-features within images. An affine trans- formation is considered suitable for registering road pavement images because of the linear way in which pavements are surveyed. Pseudo feature points are found using a modified corner detector, and then matching points between reference and template im- ages established via a correlation analysis of pavement image texture. With 4 such points it is possible to establish an affine transformation between the images. The method is tested on pavement images captured on three UK sites between winter 2014/15 and 2015/16. The method successfully registered 98% of images captured on sites typical of the UK＇s strategic road network, and 65% of images captured on a site typical of the UK＇s minor road network.
文摘为研究聚合物改性水泥混凝土路面噪声特性,分析不同路面表面纹理的噪声大小,采用室内轮胎下落法对不同聚合物改性水泥混凝土(PCC)路面噪声进行测试,结果表明,集料粒径越大,路面降噪效果越明显;PCC路面构造深度与路面噪声值呈良好的线性关系,且构造深度越大,噪声值越小;通过对不同类型路面噪声进行测试,PCC路面具有丰富的路面表面纹理,与普通刻槽水泥混凝土路面相比较,PCC路面可降低噪声2.7 d B(A),降噪效果明显.
