AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES

8 citations as recorded by crossref.

1. 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
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3. A method of processing mobile laser scanning data for road repair design K. Vasilev & Y. Lazarev https://doi.org/10.17816/transsyst707926
4. 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
5. Enhanced trajectory estimation of mobile laser scanners using aerial images Z. Hussnain et al. https://doi.org/10.1016/j.isprsjprs.2021.01.005
6. 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
7. 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
8. 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