Accurate registration of MMS point clouds of urban areas using trajectory

12 citations as recorded by crossref.

1. Review of mobile laser scanning target‐free registration methods for urban areas using improved error metrics H. Nguyen et al.
2. Study on methods for extracting landslide risks using airborne LiDAR data on expressways K. Sasaki et al.
3. Scan Line Based Road Marking Extraction from Mobile LiDAR Point Clouds L. Yan et al.
4. IMU-Aided Registration of MLS Point Clouds Using Inertial Trajectory Error Model and Least Squares Optimization Z. Chen et al.
5. MuCoGraph: A multi-scale constraint enhanced pose-graph framework for MLS point cloud inconsistency correction Y. Li et al.
6. An automated multi-constraint joint registration method for mobile LiDAR point cloud in repeated areas C. Gao et al.
7. Deformation revealed by Airborne Laser Scanning measured before and after the Kumamoto Earthquake T. TAKAYAMA et al.
8. Mobile Laser Scanning Data Collected under a Forest Canopy with GNSS/INS-Positioned Systems: Possibilities of Processability Improvements J. Čeňava et al.
9. Correlation Between Seismic Damages of Tawarayama Tunnel and Ground Deformation Under the 2016 Kumamoto Earthquake X. Zhang et al.
10. Production of orthophoto map using mobile photogrammetry and comparative assessment of cost and accuracy with satellite imagery for corridor mapping: a case study in Manesar, Haryana, India M. Dev et al.
11. A Positioning Error Compensation Method for a Mobile Measurement System Based on Plane Control B. Shi et al.
12. Position Consistency Correction of Revisit Mobile Laser Scanning Point Cloud in Urban Scene 响. 邹