Enhancing the Effective Receptive Field of a U-Net-Based CNN for Road Marking Segmentation From Mechanical Spinning Mobile LiDAR-Derived Imagery
Four key contributions are highlighted: SAC for broader spatial contextual relationships, LFR for improved feature preservation, their integration into an efficient segmentation framework, and the introduction of two sparse point cloud-derived road-marking segmentation datasets, which are publicly available at this lin...