Precise position estimation of autonomous vehicle based on map-matching

Abstract

Localization of ego-vehicle is one of the most important technologies for autonomous driving. GNSS/INS systems, which integrate GNSS position and inertial measurement, are very useful for autonomous driving, since the system always estimate smooth and real-time measurement. However, there was a problem that the system produces significant drift after long GNSS signal outage. Therefore, we propose a localization method using both GNSS/INS and lane marker detection. In this system, drift error of GNSS/INS measurement is compensated by lane marker measurement. From some experiments, it was confirmed that robust and smooth localization can be achieved by using this system.