Abstract: Aiming at the position and attitude deviations between the laser scanner and the carrier coordinate system in the vehicle-mounted mobile measurement system, a position and attitude calibration method with error correction numbers is proposed based on the combination of conventional feature points and feature surface calibration methods. Use TLS to obtain the overall point cloud model of the vehicle system and the sensor’s inherent geometric properties to obtain the initial value of the relative relationship between the sensors. Based on this, an error correction number is introduced to construct the error correction model. Spherical target and plane reflection mark, the least square method iterative method is used to calculate the optimal solution of the error correction number, so as to achieve rapid sensor calibration. The experimental results show that the method is feasible. After calibration, the absolute accuracy of the point cloud plane and absolute elevation are 0.043 m and 0.072 m, respectively, and the relative accuracy is 0.018 m, which meets the accuracy requirements for data acquisition of mobile measurement systems. Development and application are of great significance.

Key words: vehicle mobile mapping system, calibration, initial value acquisition, error correction, global coordinates, accuracy assessment