Aiming at the problem of poor precision of vehicle intelligent positioning at present, this paper puts forward the research of vehicle intelligent positioning method with real-time data acquisition by lidar. Firstly, the point cloud data around the vehicle are preprocessed by lidar, and the interference point cloud data are denoised by improved C-means method. Secondly, the vehicle surrounding information is clustered under the improved k-means algorithm. Finally, the vehicle intelligent positioning is realized by the global positioning method of laser radar bounded area. The experimental results show that the proposed method has higher precision and shorter time, and is more suitable for practical application.