IMPROVING 3D LIDAR POINT CLOUD REGISTRATION USING OPTIMAL NEIGHBORHOOD KNOWLEDGE

21 citations as recorded by crossref.

1. Three new Iterative Closest Point variant-methods that improve scan matching for surface mining terrain F. Donoso et al. 10.1016/j.robot.2017.05.003
2. Registration of Aerial Imagery and Lidar Data in Desert Areas Using Sand Ridges N. Li et al. 10.1111/phor.12110
3. How do ICP variants perform when used for scan matching terrain point clouds? F. Donoso et al. 10.1016/j.robot.2016.10.011
4. Classification of image matching point clouds over an urban area T. Tran et al. 10.1080/01431161.2018.1452069
5. Analysis of Occlusion Effects for Map-Based Self-Localization in Urban Areas Y. Endo et al. 10.3390/s21155196
6. Map merging with terrain-adaptive density using mobile 3D laser scanner Y. Xie et al. 10.1016/j.robot.2020.103649
7. Surface-Based Registration of Airborne and Terrestrial Mobile LiDAR Point Clouds T. Teo & S. Huang 10.3390/rs61212686
8. Factors to Evaluate Capability of Map for Vehicle Localization E. Javanmardi et al. 10.1109/ACCESS.2018.2868244
9. Determination of Radial Segmentation of Point Clouds Using K-D Trees with the Algorithm Rejecting Subtrees J. Orlof et al. 10.3390/sym11121451
10. Using tree stems in multi-temporal terrestrial lidar scanning data to monitor landslides on vegetated slopes M. van Veen et al. 10.1007/s10346-021-01815-1
11. Adaptive neighborhood size and effective geometric features selection for 3D scattered point cloud classification M. Günen 10.1016/j.asoc.2021.108196
12. CICP: Cluster Iterative Closest Point for sparse–dense point cloud registration M. Lamine Tazir et al. 10.1016/j.robot.2018.07.003
13. An Experimental Study of a New Keypoint Matching Algorithm for Automatic Point Cloud Registration R. Kuçak et al. 10.3390/ijgi10040204
14. Georeferenced Point Clouds: A Survey of Features and Point Cloud Management J. Otepka et al. 10.3390/ijgi2041038
15. A Tutorial Review on Point Cloud Registrations: Principle, Classification, Comparison, and Technology Challenges L. Li et al. 10.1155/2021/9953910
16. 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
17. Integrated Change Detection and Classification in Urban Areas Based on Airborne Laser Scanning Point Clouds T. Tran et al. 10.3390/s18020448
18. Path Planning in Complex 3D Environments Using a Probabilistic Roadmap Method F. Yan et al. 10.1007/s11633-013-0750-9
19. The strip adjustment of mobile LiDAR point clouds using iterative closest point (ICP) algorithm R. Kuçak et al. 10.1007/s12517-022-10303-2
20. 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. 10.1080/19475683.2022.2141853
21. Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge A. Gressin et al. 10.1016/j.isprsjprs.2013.02.019