Abstract
In Japan, to support the realization of a self-driving system and a safe driving system, development of a highly accurate dynamic three-dimensional map is being promoted. Dynamic mapping consists of 34 kin ds of real features and virtual features. These features differ in specifications, such as the usage and position acquisition, which are present in fundamental geospatial data of road.
Therefore, when mutual conversion between them becomes possible, freshness and exhaustiveness can be guaranteed, which can be expected to contribute greatly to the mutual agreement of both.
In this study, the affinity was analyzed of the features and attributes of dynamic map and fundamental geospatial data of road. Then, a conversion method was devised for 12 features with high affinity, and the usefulness was clarified through a case study.
