Abstract
Road inventory is an important infrastructure for the intelligent transportation system. The mobile mapping system is an advanced technology to collect high-quality road data efficiently. The objective of this research is to present a procedure to extract the road inventory using the mobile mapping system. The major works of this study include data preprocessing and feature extraction. Data preprocessing is used to improve the accuracy of trajectory using co-registration and 3D similarity transformation. Feature extraction comprises road point selection, road mark extraction, and object measurement. The test data was acquired by Optech Lynx system. The experimental results show the potential for using a lidar-based mobile mapping system in road inventory extraction. The experimental results indicate that the registration error can be reduced to 5cm after co-registration. The automatic filtering is able to select ground point efficiently. Moreover, the mobile lidar system is capable of creating a 3D road inventor wherein the root-mean-square-error of road mark is greater than 20cm. The digitized road marks and road objects can be integrated with geospatial data for analysis and 3D visualization.
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