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
Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery—0
Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing—0
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection—0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation—0
On the Diagnostic of Road Pathway Visibility—0
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection—0
Polarimetric Imaging for Perception—0
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation—0
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild—0
Recurrent U-Net for Resource-Constrained Segmentation—0
Road-aware Monocular Structure from Motion and Homography Estimation—0
Road Segmentation with Image-LiDAR Data Fusion—0
Accurate Urban Road Centerline Extraction from VHR Imagery via Multiscale Segmentation and Tensor Voting—0
Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites—0
A Joint 3D-2D based Method for Free Space Detection on Roads—0
An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery—0
A Novel Disparity Transformation Algorithm for Road Segmentation—0
Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads—0
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation—0
BiFNet: Bidirectional Fusion Network for Road Segmentation—0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation—0
Brightearth roads: Towards fully automatic road network extraction from satellite imagery—0
Building and Road Segmentation Using EffUNet and Transfer Learning Approach—0
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles—0
Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN—0
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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