ROAD MARKING EXTRACTION USING A MODEL&DATA-DRIVEN RJ-MCMC

7 citations as recorded by crossref.

1. A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas Y. Wang et al. https://doi.org/10.3390/rs11131540
2. A two-stage approach for road marking extraction and modeling using MLS point clouds X. Mi et al. https://doi.org/10.1016/j.isprsjprs.2021.07.012
3. Effects of Using Different Sources of Remote Sensing and Geographic Information System Data on Urban Stormwater 2D–1D Modeling Y. Hong et al. https://doi.org/10.3390/app7090904
4. 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. https://doi.org/10.1080/19475683.2022.2141853
5. A benchmark approach and dataset for large-scale lane mapping from MLS point clouds X. Mi et al. https://doi.org/10.1016/j.jag.2024.104139
6. Efficient and robust lane marking extraction from mobile lidar point clouds J. Jung et al. https://doi.org/10.1016/j.isprsjprs.2018.11.012
7. Precision Inverse Modeling of Highway Pavements Based on Standardized Alignment R. Ma et al. https://doi.org/10.1109/JSTARS.2024.3404458