AN AUTOMATED ROAD ROUGHNESS DETECTION FROM MOBILE LASER SCANNING DATA

10 citations as recorded by crossref.

1. Pavement Distress Detection Methods: A Review A. Ragnoli et al. 10.3390/infrastructures3040058
2. Analysis of Optimal Flight Parameters of Unmanned Aerial Vehicles (UAVs) for Detecting Potholes in Pavements E. Romero-Chambi et al. 10.3390/app10124157
3. Extraction of Road Lane Markings from Mobile LiDAR Data M. Zeybek 10.1177/0361198120981948
4. Assessing of the Road Pavement Roughness by Means of LiDAR Technology M. De Blasiis et al. 10.3390/coatings11010017
5. Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress M. De Blasiis et al. 10.3390/rs12060942
6. Tile-Based Pavement Rutting and Roughness Evaluation Using Mobile LiDAR Data A. Faisal & S. Gargoum 10.1061/JPEODX.PVENG-1573
7. Modified YOLOv8 for automated detection and identification towards highway pavement distress Z. Hao et al. 10.1016/j.conbuildmat.2025.143428
8. Relative Flatness Analysis in Mobile Pavement Condition Monitoring Using Hybrid Solid-State LiDAR T. Chuang & Y. Chang 10.1061/JCCEE5.CPENG-6264
9. A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress Z. Lv et al. 10.3390/app15116112
10. A Review of Linear Motor Electromagnetic Energy Regenerative Suspension and Key Technologies D. Sun et al. 10.3390/en18195158