SOTAVerified

Road Segmentation

Road Segmentation is a pixel wise binary classification in order to extract underlying road network. Various Heuristic and data driven models are proposed. Continuity and robustness still remains one of the major challenges in the area.

Papers

Showing 5160 of 82 papers

TitleStatusHype
DeepCompass: AI-driven Location-Orientation Synchronization for Navigating Platforms0
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing0
Distantly Supervised Road Segmentation0
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models0
Road Segmentation for ADAS/AD Applications0
Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks0
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields0
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles0
Road Segmentation Using CNN with GRU0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1U-Net (ResNet-18)DWR46.5Unverified
2DeepLabV3+ (ResNet-18)DWR46.1Unverified
3U-Net (ResNet-50)DWR45.7Unverified
4FCNDWR10.7Unverified
#ModelMetricClaimedVerifiedStatus
1CoANet + PRNmIoU70.6Unverified
2SPIN Road Mapper (ours)APLS0.74Unverified
3D-LinkNetIoU0.64Unverified
#ModelMetricClaimedVerifiedStatus
1RSM-SSIoU67.35Unverified
2SPIN Road Mapper (ours)IoU65.24Unverified