A pose correction method for 3D laser mobile measurement based on feature point position constraints
Accurate navigation and positioning information is the basis for the laser mobile measurement system to obtain high-precision point cloud.However,the short-time failure of the navigation and positioning system will lead to inaccurate position information of observation points so that accurate point cloud data cannot be obtained.Therefore,a pose correction method for laser mobile measurement based on the constraint of feature point position was proposed.By using a small amount of feature point position information measured before and after the failure of the navigation and positioning system,a pose correction model based on the registration of feature points at different times was constructed.The position and posture of the observation point at the time of the failure of the navigation and positioning system were used as estimated parameters for least square calculation,to achieve the recovery of pose parameters and the reconstruction of point cloud.The vehicle-mounted laser mobile measurement data were used for experimental analysis.The results show that the proposed method can correct the error of point cloud coordinates in the case of short-term failure of the navigation and positioning system from the meter level to the decimeter level and has important reference value for improving the stability of the integrated navigation system and the accuracy of point cloud mobile measurement.
3D lasermobile measurementfeature point constraintpose correctioncoordinate transformationleast square method