AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES

9 citations as recorded by crossref.

1. Georegistration of Terrestrial LiDAR Point Clouds With Satellite Images Without GNSS X. Wang et al. https://doi.org/10.1109/JSTARS.2026.3733746
2. Semantic-Guided Matching of Heterogeneous UAV Imagery and Mobile LiDAR Data Using Deep Learning and Graph Neural Networks T. Teo et al. https://doi.org/10.3390/drones10030185
3. Опыт применения технологии Slam-сканирования для съемки очистных камер при отработке золоторудного месторождения «Зун-Холба» в Бурятии с использованием сканера Heron Lite В. Писарев & К. Ершов https://doi.org/10.33764/2411-1759-2025-30-6-5-17
4. A method of processing mobile laser scanning data for road repair design K. Vasilev & Y. Lazarev https://doi.org/10.17816/transsyst707926
5. Enhance Pose Accuracy of GNSS/INS Integration by Fusing LiDAR Structure Features Based on Continuous-Time State Representation J. Cheng et al. https://doi.org/10.1109/LRA.2025.3597859
6. Enhanced trajectory estimation of mobile laser scanners using aerial images Z. Hussnain et al. https://doi.org/10.1016/j.isprsjprs.2021.01.005
7. Self-Constrained Baseline 3-D Correction Approach for Mobile Laser Scanning Point Cloud in Complex Urban Road Environments Y. Li et al. https://doi.org/10.1109/JSTARS.2023.3300104
8. Automatic extraction of accurate 3D tie points for trajectory adjustment of mobile laser scanners using aerial imagery Z. Hussnain et al. https://doi.org/10.1016/j.isprsjprs.2019.05.010
9. Application of laser scanning technology to control the state of protective constructions when transferring oil products M. Altyntsev & M. Altyntseva https://doi.org/10.35595/2414-9179-2021-1-27-377-393