TRAJECTORY ADJUSTMENT OF MOBILE LASER SCAN DATA IN GPS DENIED ENVIRONMENTS

9 citations as recorded by crossref.

1. Self-Constrained Baseline 3-D Correction Approach for Mobile Laser Scanning Point Cloud in Complex Urban Road Environments Y. Li et al. 10.1109/JSTARS.2023.3300104
2. Mobile Laser Scanning Data Collected under a Forest Canopy with GNSS/INS-Positioned Systems: Possibilities of Processability Improvements J. Čeňava et al. 10.3390/rs16101734
3. WHU-Helmet: A Helmet-Based Multisensor SLAM Dataset for the Evaluation of Real-Time 3-D Mapping in Large-Scale GNSS-Denied Environments J. Li et al. 10.1109/TGRS.2023.3275307
4. Automated Accuracy Assessment of a Mobile Mapping System with Lightweight Laser Scanning and MEMS Sensors K. Al-Durgham et al. 10.3390/app11031007
5. Lidar point–to–point correspondences for rigorous registration of kinematic scanning in dynamic networks A. Brun et al. 10.1016/j.isprsjprs.2022.04.027
6. Research on Mapping Error Control of Underground Space Mobile LiDAR Constrained by Cooperative Targets H. Liu et al. 10.1155/2022/8690532
7. A review of laser scanning for geological and geotechnical applications in underground mining S. Kumar Singh et al. 10.1016/j.ijmst.2022.09.022
8. A Method for Efficient Quality Control and Enhancement of Mobile Laser Scanning Data S. Kalenjuk & W. Lienhart 10.3390/rs14040857
9. MuCoGraph: A multi-scale constraint enhanced pose-graph framework for MLS point cloud inconsistency correction Y. Li et al. 10.1016/j.isprsjprs.2023.09.018