Semi-Automatic Road/Pavement Modeling using Mobile Laser Scanning

17 citations as recorded by crossref.

1. Revue des descripteurs tridimensionnels (3D) pour la catégorisation des nuages de points acquis avec un système LiDAR de télémétrie mobile S. Daniel 10.1139/geomatica-2018-0001
2. Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds L. Ma et al. 10.1109/JSTARS.2019.2904514
3. A new approach of monitoring and physically-based modelling to investigate urban wash-off process on a road catchment near Paris Y. Hong et al. 10.1016/j.watres.2016.06.027
4. Integrating atmospheric deposition, soil erosion and sewer transport models to assess the transfer of traffic-related pollutants in urban areas Y. Hong et al. 10.1016/j.envsoft.2017.06.047
5. Automatic Generation of Urban Road 3D Models for Pedestrian Studies from LiDAR Data D. Fernández-Arango et al. 10.3390/rs14051102
6. New insights into the urban washoff process with detailed physical modelling Y. Hong et al. 10.1016/j.scitotenv.2016.08.193
7. Combine Laser Scan Data with Open Street Map to Produce a Three-Dimensional Road Map 晨. 丁 10.12677/CSA.2019.96132
8. Morphological Operations to Extract Urban Curbs in 3D MLS Point Clouds B. Rodríguez-Cuenca et al. 10.3390/ijgi5060093
9. Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review L. Ma et al. 10.3390/rs10101531
10. Extraction and Classification of Road Markings Using Mobile Laser Scanning Point Clouds M. Cheng et al. 10.1109/JSTARS.2016.2606507
11. Urban 3D modeling with mobile laser scanning: a review C. Wang et al. 10.1016/j.vrih.2020.05.003
12. Revue des descripteurs tridimensionnels (3D) pour la catégorisation des nuages de points acquis avec un système LiDAR de télémétrie mobile S. Daniel 10.1139/geomat-2018-0001
13. A Method for Obtaining a DEM with Curved Abscissa from MLS Data for Linear Infrastructure Survey Design M. Barbarella et al. 10.3390/rs14040889
14. Effects of Using Different Sources of Remote Sensing and Geographic Information System Data on Urban Stormwater 2D–1D Modeling Y. Hong et al. 10.3390/app7090904
15. Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data . Balado et al. 10.3390/s19163466
16. Computation of road geometry parameters using mobile LiDAR system M. Yadav et al. 10.1016/j.rsase.2018.02.003
17. LiDAR Point Clouds to 3-D Urban Models$:$ A Review R. Wang et al. 10.1109/JSTARS.2017.2781132