DEEP LEARNING-BASED ROAD SEGMENTATION OF 3D POINT CLOUDS FOR ASSISTING ROAD ALIGNMENT PARAMETERIZATION

5 citations as recorded by crossref.

1. A benchmark approach and dataset for large-scale lane mapping from MLS point clouds X. Mi et al. 10.1016/j.jag.2024.104139
2. An Automatic Road Surface Segmentation in Non-Urban Environments: A 3D Point Cloud Approach With Grid Structure and Shallow Neural Networks M. Dowajy et al. 10.1109/ACCESS.2024.3372431
3. Application of mobile laser scanner to augment stationary collected point clouds K. Pargieła et al. 10.1080/09613218.2025.2451975
4. Automatic Road Inventory Using a Low-Cost Mobile Mapping System and Based on a Semantic Segmentation Deep Learning Model H. Tardy et al. 10.3390/rs15051351
5. Scan-to-graph: Automatic generation and representation of highway geometric digital twins from point cloud data Y. Pan et al. 10.1016/j.autcon.2024.105654