Stereo-vision applications to reconstruct the 3D texture of pavement surface

Abstract

Characterisation of pavement surface texture has significant effects on ride comfort and road safety. Pavement texture is typically reported as a single attribute, such as mean profile depth, root mean square roughness or hydraulic radius, which limits the usefulness of information extracted from texture measurements. Therefore, advanced methods that characterise pavement texture in three dimensions are needed. This paper reviews recent advances in the development of two imaging-based texture evaluation methods. The main objective of these methods is to recover the 3D heights of the pavement surface. Also, the validation of the proposed image-based texture indicators is examined. Results show that image-based techniques can be successfully applied to recover the 3D heights of pavement surface textures and provide substantial information on the friction and noise characteristics of the surface.