TRAJECTORY-BASED REGISTRATION OF 3D LIDAR POINT CLOUDS ACQUIRED WITH A MOBILE MAPPING SYSTEM

8 citations as recorded by crossref.

1. Automated Enhancement of Multimodal Geospatial Data Alignment Through System Calibration and Trajectory Refinement J. Liu & A. Habib
2. Improving the Accuracy of Subway Mobile Laser Scanning Point Clouds Based on Target Constraints H. Liu et al.
3. SLAM integrated mobile mapping system in complex urban environments S. Li et al.
4. IMU-Aided Registration of MLS Point Clouds Using Inertial Trajectory Error Model and Least Squares Optimization Z. Chen et al.
5. Enhance Pose Accuracy of GNSS/INS Integration by Fusing LiDAR Structure Features Based on Continuous-Time State Representation J. Cheng et al.
6. Position Consistency Correction of Revisit Mobile Laser Scanning Point Cloud in Urban Scene 响. 邹
7. MuCoGraph: A multi-scale constraint enhanced pose-graph framework for MLS point cloud inconsistency correction Y. Li et al.
8. Application of Mobile Mapping System for a Modern Topography M. Arseni et al.