Chien-Chiang Tung

Automated Road Marking Wear Assessment via Multimodal Fusion of LiDAR Intensity and YOLOv11 Semantic Segmentation

Highlights What are the main findings? A mobile multimodal road inspection system was developed by integrating LiDAR intensity, camera-based semantic segmentation, GNSS, IMU, and ROS-based processing. A grid-based wear score was constructed by combining reflectance ratio, point density ratio, fusion retention ratio, an...