Semi-Automatic Road/Pavement Modeling using Mobile Laser Scanning

21 citations as recorded by crossref.

1. Road extraction in remote sensing data: A survey Z. Chen et al. https://doi.org/10.1016/j.jag.2022.102833
2. Integrating atmospheric deposition, soil erosion and sewer transport models to assess the transfer of traffic-related pollutants in urban areas Y. Hong et al. https://doi.org/10.1016/j.envsoft.2017.06.047
3. Virtual ADA Compliance Assessment: Mimicking Digital Inclinometers to Measure Slopes within Point Clouds Y. Zhou et al. https://doi.org/10.1061/JSUED2.SUENG-1477
4. Automatic Generation of Urban Road 3D Models for Pedestrian Studies from LiDAR Data D. Fernández-Arango et al. https://doi.org/10.3390/rs14051102
5. Combine Laser Scan Data with Open Street Map to Produce a Three-Dimensional Road Map 晨. 丁 https://doi.org/10.12677/CSA.2019.96132
6. Morphological Operations to Extract Urban Curbs in 3D MLS Point Clouds B. Rodríguez-Cuenca et al. https://doi.org/10.3390/ijgi5060093
7. Extraction and Classification of Road Markings Using Mobile Laser Scanning Point Clouds M. Cheng et al. https://doi.org/10.1109/JSTARS.2016.2606507
8. Urban 3D modeling using mobile laser scanning: a review C. Wang et al. https://doi.org/10.1016/j.vrih.2020.05.003
9. Road and Building Reconstruction from 3D LiDAR Point Clouds: A Scoping Review N. Krishnakumar et al. https://doi.org/10.1007/s11831-026-10580-0
10. An Automated Sound Barrier Inventory Method Using Mobile LiDAR Q. Hou & C. Ai https://doi.org/10.1061/JTEPBS.0000732
11. 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
12. Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data J. Balado et al. https://doi.org/10.3390/s19163466
13. 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
14. Extraction of Road Edges from MMS Point Clouds Using Bend Angle of Scanline R. HONMA et al. https://doi.org/10.4287/jsprs.60.53
15. Revue des descripteurs tridimensionnels (3D) pour la catégorisation des nuages de points acquis avec un système LiDAR de télémétrie mobile S. Daniel https://doi.org/10.1139/geomatica-2018-0001
16. Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds L. Ma et al. https://doi.org/10.1109/JSTARS.2019.2904514
17. 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. https://doi.org/10.1016/j.watres.2016.06.027
18. A Method for Obtaining a DEM with Curved Abscissa from MLS Data for Linear Infrastructure Survey Design M. Barbarella et al. https://doi.org/10.3390/rs14040889
19. Computation of road geometry parameters using mobile LiDAR system M. Yadav et al. https://doi.org/10.1016/j.rsase.2018.02.003
20. Comparison of Virtual Curb Ramp Slope Assessment from Multiple Lidar Platforms C. Ogbeta et al. https://doi.org/10.1061/JSUED2.SUENG-1612
21. LiDAR Point Clouds to 3-D Urban Models$:$ A Review R. Wang et al. https://doi.org/10.1109/JSTARS.2017.2781132