Road surface segmentation from multisource geospatial data for autonomous driving

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Deep spatial attention networks for vision-based pavement distress perception in autonomous driving2025 · 4 citations
2. 2A Multi-Modal Attention Fusion Framework for Road Connectivity Enhancement in Remote Sensing Imagery2025
3. 3ACNet: An Attention–Convolution Collaborative Semantic Segmentation Network on Sensor-Derived Datasets for Autonomous Driving2025
4. 4High-Quality Road Detection Using U-Net-Based Semantic Segmentation with High-Resolution Orthophotos and DSM Data in Urban Environments2025
5. 5FIN: Fast Inference Network for Map Segmentation2025