Improvement of data verification method for traffic regulation for large vehicles

Abstract

In civil engineering, constructing a digital twin requires a large amount of data. Outputs derived from data science, including AI, are reproduced by associating them with coordinate information in physical space. Since various data sources tied to coordinate information must be accurate, modifying and supplementing the digital twin by cross-verifying data using multiple methods should be considered. This study tries improving an previous verification method. Increasing the variety of road signs to be detected in the images and the relation between position of traffic sign and road edge is defined by azimuth. They improve the estimation of the restricted areas in previous study.