Research for Extracting Point Cloud Data Related to Road Surface Features Using Plan of Completion Drawing

Abstract

In recent years, accompanying the development of laser-based measuring technologies, initiatives relating to the utilization and application of three-dimensional information, such as point cloud data, have been gaining momentum. With focus on the field of roads, point cloud data has been widely used for surveying road surface conditions and detecting deformations in cylindrical features. Although it is necessary to identify the particular road features under analysis in these operations, point cloud data combines various types of road features together. Therefore, technology capable of classifying particular road features out of point cloud data is necessary. Existing research has proposed methods for extracting road features with high precision by separating road surface features from other data points. However, the problem is that it is difficult to accurately extract point cloud data related to the road surface when there are grade separations or successive slope changes because low elevation points are interpreted as the standard for the road surface. Thus, this research proposes a method for extracting point cloud data related to road surface features with high precision by estimating the elevation of roadways using plan of completion drawing.