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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 82 papers

TitleStatusHype
Unstructured Road Segmentation using Hypercolumn based Random Forests of Local expertsCode0
Deep Quaternion NetworksCode0
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise BinarizationCode0
Road Segmentation Using CNN and Distributed LSTMCode0
Pathfinder for Low-altitude Aircraft with Binary Neural NetworkCode0
RoadTracer: Automatic Extraction of Road Networks from Aerial ImagesCode0
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road ExtractionCode0
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and SegmentationCode0
AI Powered Road Network Prediction with Multi-Modal DataCode0
Recurrent U-Net for Resource-Constrained Segmentation—0
Road-aware Monocular Structure from Motion and Homography Estimation—0
Road Segmentation for ADAS/AD Applications—0
Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks—0
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields—0
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles—0
Road Segmentation Using CNN with GRU—0
Self-Supervised Relative Depth Learning for Urban Scene Understanding—0
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space—0
Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Boosting Off-Road Segmentation via Photometric Distortion and Exponential Moving Average—0
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation—0
UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised—0
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction—0
Visual Traffic Knowledge Graph Generation from Scene Images—0
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation—0
Accurate Urban Road Centerline Extraction from VHR Imagery via Multiscale Segmentation and Tensor Voting—0
Show:102550
← PrevPage 2 of 4Next →
All datasetsChesapeakeRSCDeepGlobeMassachusetts Roads Dataset

Benchmark Results

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