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 7682 of 82 papers

TitleStatusHype
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation0
On the Diagnostic of Road Pathway Visibility0
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection0
Polarimetric Imaging for Perception0
Road Segmentation with Image-LiDAR Data Fusion0
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild0
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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