AUTOMATIC ROAD MARKINGS EXTRACTION, CLASSIFICATION AND VECTORIZATION FROM MOBILE LASER SCANNING DATA

6 citations as recorded by crossref.

1. Lane-Level Road Network Construction Based on Street-View Images J. Shi et al. 10.1109/JSTARS.2022.3181464
2. Point-Based Visual Status Evaluation of Worn Pavement Markings Based on a Feature-Binary-PointNet Network and Shape Descriptors Using LiDAR Point Clouds: A Case Study of an Expressway J. Wang et al. 10.1177/03611981231185139
3. Focal Combo Loss for Improved Road Marking Extraction of Sparse Mobile LiDAR Scanning Point Cloud-Derived Images Using Convolutional Neural Networks M. Lagahit & M. Matsuoka 10.3390/rs15030597
4. Instance-Based Clustering of Road Markings with Wear and Occlusion from Mobile Lidar Data J. Jung et al. 10.1061/JCCEE5.CPENG-5728
5. Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery M. Lagahit et al. 10.3390/rs16234592
6. Precision Inverse Modeling of Highway Pavements Based on Standardized Alignment R. Ma et al. 10.1109/JSTARS.2024.3404458