Road Segmentation
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Benchmarks
Most implemented
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
Papers
Safety-oriented sidewalk and road segmentation for smartphone-based assistive navigation
Independent sidewalk mobility is essential for blind and visually impaired pedestrians (BVIPs), yet smartphone-based assistive navigation requires perception models that distinguish walkable sidewalks from adjacent unsaf…
Semantic SegmentationDomain AdaptationRoad SegmentationIAF-Net: Illumination-Adaptive Fusion for Low-Light Urban Road Segmentation
Semantic road segmentation is important for autonomous driving, but existing methods suffer severe performance degradation under low-light conditions. Many existing multi-modal fusion methods do not explicitly adapt to i…
Autonomous DrivingRoad SegmentationRoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction
Accurate road segmentation from aerial imagery is fundamental to many geospatial applications. However, existing datasets often suffer from limited scene diversity, low semantic granularity, and poor structural continuit…
Road SegmentationLiteViLNet: Lightweight Vision-LiDAR Fusion Network for Efficient Road Segmentation
Road segmentation is a fundamental perception task for autonomous driving and intelligent robotic systems, requiring both high accuracy and real-time inference, especially for deployment on resource-constrained edge devi…
Autonomous DrivingRoad SegmentationPC-SAM: Patch-Constrained Fine-Grained Interactive Road Segmentation in High-Resolution Remote Sensing Images
Road masks obtained from remote sensing images effectively support a wide range of downstream tasks. In recent years, most studies have focused on improving the performance of fully automatic segmentation models for this…
Interactive SegmentationRoad SegmentationSingle-Eye View: Monocular Real-time Perception Package for Autonomous Driving
Amidst the rapid advancement of camera-based autonomous driving technology, effectiveness is often prioritized with limited attention to computational efficiency. To address this issue, this paper introduces LRHPerceptio…
Computational EfficiencyTrajectory PredictionAutonomous DrivingRoad Segmentation