Open AccessAPPLICATION OF TERRESTRIAL LASER SCANNING FOR ASSESSMENT OF ASPHALT PAVEMENT LAYING QUALITY
Author(s) -
Maxim A. Altyntsev,
Marina A. Altyntseva
Publication year - 2021
Publication title -
interèkspo geo-sibirʹ
Language(s) - English
Resource type - Journals
ISSN - 2618-981X
DOI - 10.33764/2618-981x-2021-1-75-84
Subject(s) - point cloud , laser scanning , flatness (cosmology) , road surface , computer science , data processing , mobile mapping , asphalt , asphalt pavement , remote sensing , laser , computer vision , engineering , civil engineering , database , geology , optics , cartography , geography , physics , cosmology , quantum mechanics
Various technical equipment are used for surveying the condition of the road surface. One of the most modern methods for assessing the state of roads is mobile laser scanning (MLS), which allows obtaining a point model of road surface with high density accuracy and in a short period of time. After generating a digital surface model (DSM) from an array of laser points, we can identify various defects of the roadway and evaluate its flatness. A prerequisite for obtaining reliable survey results is increased accuracy of the pre-processed point cloud. During pre-processing 2D scanners and digital cameras are calibrated, point clouds are adjusted and filtered. The necessity for increased accuracy of pre-processing results for the purpose of generating the DSM imposes certain requirements on data processing techniques. For this purpose, additional study of the MLS data accuracy should often be carried out. The results of preliminary processed MLS data in order to generate high-accuracy DSM of road pavement are discussed.