MMS 라이다 점군 데이터를 활용한 도로 파손유형분석과 GIS DB구축 연구

The primary objective of this study is to enhance the safety of autonomous vehicles and improve the efficiency of road management through the application of MMS (Mobile Mapping System) and LiDAR technology for the precise monitoring and analysis of road pavement conditions. To accomplish this, MMS equipment was utilized to acquire three-dimensional point cloud data on road pavement conditions in Goyang City and the Incheon coastal area. The collected data were then subjected to a comprehensive analysis to evaluate road cracks and damage. Accuracy assessments of the analyzed data were performed by comparing them with ground-truth measurements, and a structured database was developed to support effective road condition assessment and maintenance strategies. The study's findings revealed accurate identification of various types of road damage, including their depth and location. Furthermore, the evaluation of road pavement conditions using MMS and LiDAR technology demonstrated superior efficiency in terms of both time and cost compared to conventional methods. This research is anticipated to contribute significantly to the development of a safer driving environment for autonomous vehicles. Additionally, the integrated database established in this study is expected to serve as a crucial reference in future high-precision road map updates.