Road conditional mapping using terrestrial laser scanning method

Abstract

Road transportation plays a vigorous part in the lives of people worldwide, because it bond people for commercial activities or pleasure by connecting small and large cities, urban and rural areas as well as connecting a country with its neighbour. To support the safe movement of people, goods and services, road and their features are carefully designed and constructed to increase road traffic safety, improve the efficient use of the overall network and reduce the harm such as death, injuries and property damage. Crack is the common surface distress of asphalt pavements it is necessary to detect the crack as early as possible to reduce maintenance cost. Terrestrial laser scanning is one of the most capable remote sensing techniques, which can be used to detect and analyse road distress at all levels The main objectives of this research were to acquire the road data using terrestrial laser scanning and close-range photogrammetry method, measure the width, length and area affected by the crack from point cloud data and also to verify the result using close-range photogrammetry and manual method. Ten lengths of the crack ware measured, ten width and area affected by the crack was also measured from point cloud data. The results obtained from point cloud data was verified using close-range photogrammetry and manual measurements. The results shows the potential of terrestrial laser scanning to detect, measure and analyse the road crack with root mean square error of the measured lengths between terrestrial laser scanning and close-range photogrammetry 0.015m and that of terrestrial laser scanning and manual method was 0.018m while the root mean square error of the measured widths between terrestrial laser scanning and close-range photogrammetry 0.001m and that of terrestrial laser scanning and manual method was 0.001m.