Mobile Mapping System (MMS) is a cost-effective way to acquire spatial data. It also provides detailed and high accurate point cloud. As the need for urban planning, navigation and Location Based Service (LBS) are increasing, how to extract the information of the road becomes the important research. For this reason, the purpose of this study is extracting the road points from the mobile lidar points cloud, and then obtaining the geometrical information of the road. The research has three major parts. There are data pre-processing, road point extraction and verification. In data pre-processing, in order to avoid dealing with all data, point clouds are divided into several road parts. Then, we select the lowest point as potential ground point from all points using elevation threshold. Next, we use the cubic curve fitting and point-to-curve distance to extract road points. It can remove non-ground points like cars and pedestrians. Finally, we provide manual edited digital elevation model (DEM) and ground check points to verify the result.
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