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 51–82 of 82 papers

TitleStatusHype
DeepCompass: AI-driven Location-Orientation Synchronization for Navigating Platforms—0
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing—0
Distantly Supervised Road Segmentation—0
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery—0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models—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
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise BinarizationCode0
Semantic Binary Segmentation using Convolutional Networks without DecodersCode0
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road ExtractionCode0
RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road SegmentationCode0
Unstructured Road Segmentation using Hypercolumn based Random Forests of Local expertsCode0
Pathfinder for Low-altitude Aircraft with Binary Neural NetworkCode0
Spatial Information Inference Net: Road Extraction Using Road-Specific Contextual InformationCode0
Deep Quaternion NetworksCode0
Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSDCode0
Road Segmentation Using CNN and Distributed LSTMCode0
AI Powered Road Network Prediction with Multi-Modal DataCode0
RoadTracer: Automatic Extraction of Road Networks from Aerial ImagesCode0
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local OperationsCode0
MMCert: Provable Defense against Adversarial Attacks to Multi-modal ModelsCode0
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and SegmentationCode0
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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