Abstract
In this paper, we report the simulation result of a hybrid navigation system using landmarks and lane detection to overcome weakness of GNSS. The positioning technology of a vehicle is one of the important elements to realize the autonomous driving. GNSS is often used for vehicle positioning, but the problem is that accuracy is reduced in urban areas and tunnels. To solve this problem, we developed a system that can estimate the position using a high definition map and LiDAR, radar, camera sensor instead of GNSS, and confirmed its performance by simulation.
