ROAD AND ROADSIDE FEATURE EXTRACTION USING IMAGERY AND LIDAR DATA FOR TRANSPORTATION OPERATION

9 citations as recorded by crossref.

1. Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest—Part B: 3-D Contest A. Vo et al. https://doi.org/10.1109/JSTARS.2016.2581843
2. Yüksek Çözünürlüklü İnsansız Hava Aracı (İHA) Görüntülerinden Karayolların Tespiti A. YİĞİT & M. UYSAL https://doi.org/10.17798/bitlisfen.900817
3. Automatic Roadside Feature Detection Based on Lidar Road Cross Section Images I. Brkić et al. https://doi.org/10.3390/s22155510
4. AutoRoadSAM: Multimodal Remote Sensing Road Extraction With Structure-Semantic Awareness via Auto-Prompting Vision Foundation Models J. Li et al. https://doi.org/10.1109/TGRS.2026.3658664
5. A Variable Dimension-Based Method for Roadside LiDAR Background Filtering J. Wu et al. https://doi.org/10.1109/JSEN.2021.3125623
6. Measures of Functional Reliability of Two-Lane Highways K. Ostrowski & M. Budzynski https://doi.org/10.3390/en14154577
7. 3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework M. Chen et al. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000929
8. Automated Object Detection, Mapping, and Assessment of Roadside Clear Zones Using Lidar Data M. Gouda et al. https://doi.org/10.1177/03611981211029934
9. Framework for 3D Point Cloud Modelling Aimed at Road Sight Distance Estimations K. González-Gómez et al. https://doi.org/10.3390/rs11232730