In urban autonomous driving, it is necessary to accurately distinguish and recognize stationary structures such as buildings and vegetation near the road from moving objects such as vehicles and pedestrians. In this study, we developed a technology to accurately overlay LiDAR point clouds onto stationary structure point cloud maps by correcting temporal distortions in the LiDAR data and applying coordinate transformation using multiple landmarks such as poles. This technology enables reliable detection of moving objects.