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 6170 of 82 papers

TitleStatusHype
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles0
Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN0
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
HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images0
High-Resolution Building and Road Detection from Sentinel-20
Improving Road Segmentation in Challenging Domains Using Similar Place Priors0
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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