SOTAVerified

Lane Detection

Lane Detection is a computer vision task that involves identifying the boundaries of driving lanes in a video or image of a road scene. The goal is to accurately locate and track the lane markings in real-time, even in challenging conditions such as poor lighting, glare, or complex road layouts.

Lane detection is an important component of advanced driver assistance systems (ADAS) and autonomous vehicles, as it provides information about the road layout and the position of the vehicle within the lane, which is crucial for navigation and safety. The algorithms typically use a combination of computer vision techniques, such as edge detection, color filtering, and Hough transforms, to identify and track the lane markings in a road scene.

( Image credit: End-to-end Lane Detection )

Papers

Showing 150 of 251 papers

TitleStatusHype
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
RelTopo: Enhancing Relational Modeling for Driving Scene Topology Reasoning0
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation ModelsCode3
DLNet: Direction-Aware Feature Integration for Robust Lane Detection in Complex EnvironmentsCode0
TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous DrivingCode2
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving0
DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection0
OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models under Real-world Driving ConditionsCode1
CleanMAP: Distilling Multimodal LLMs for Confidence-Driven Crowdsourced HD Map Updates0
Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review0
A Robust Real-Time Lane Detection Method with Fog-Enhanced Feature Fusion for Foggy Conditions0
GLane3D : Detecting Lanes with Graph of 3D Keypoints0
Robust Lane Detection with Wavelet-Enhanced Context Modeling and Adaptive Sampling0
CLRNetV2: A Faster and Stronger Lane Detector0
TriLiteNet: Lightweight Model for Multi-Task Visual PerceptionCode1
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection0
Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection0
GLane3D: Detecting Lanes with Graph of 3D Keypoints0
TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding0
Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor RegressionCode2
RowDetr: End-to-End Row Detection Using Polynomials0
Monocular Lane Detection Based on Deep Learning: A SurveyCode2
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning0
Implementation of Real-Time Lane Detection on Autonomous Mobile Robot0
Attention-based U-Net Method for Autonomous Lane Detection0
Polar R-CNN: End-to-End Lane Detection with Fewer AnchorsCode1
Inadequate contrast ratio of road markings as an indicator for ADAS failure0
Technical Report of 1:10 Scale Autonomous Vehicle Robot0
QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation0
Lane Detection System for Driver Assistance in Vehicles0
Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection0
Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated VehiclesCode0
LaneTCA: Enhancing Video Lane Detection with Temporal Context AggregationCode0
LOID: Lane Occlusion Inpainting and Detection for Enhanced Autonomous Driving Systems0
HeightLane: BEV Heightmap guided 3D Lane Detection0
OMR: Occlusion-Aware Memory-Based Refinement for Video Lane DetectionCode0
Panacea+: Panoramic and Controllable Video Generation for Autonomous DrivingCode3
Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape MatchingCode0
Unsupervised Domain Adaptive Lane Detection via Contextual Contrast and Aggregation0
RepVF: A Unified Vector Fields Representation for Multi-task 3D PerceptionCode1
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving0
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view RepresentationCode2
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection0
LaneCPP: Continuous 3D Lane Detection using Physical Priors0
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions0
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving ScenesCode2
CLRKDNet: Speeding up Lane Detection with Knowledge DistillationCode1
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection0
Towards Robust Physical-world Backdoor Attacks on Lane Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DLNetF1 score81.23Unverified
2CLRerNet-DLA34F1 score81.12Unverified
3CLRerNet-Res101F1 score80.91Unverified
4CondLSTR(ResNet-101)F1 score80.77Unverified
5CLRerNet-Res34F1 score80.76Unverified
6CLRKDNet (DLA-34)F1 score80.68Unverified
7CLRNetV2 (DLA34)F1 score80.68Unverified
8CondLSTR(ResNet-34)F1 score80.55Unverified
9CLRNet(DLA-34)F1 score80.47Unverified
10CLRNetV2 (ResNet101)F1 score80.43Unverified
#ModelMetricClaimedVerifiedStatus
1SCNN_UNet_Attention_PL*Accuracy98.38Unverified
2GANet(ResNet-34)F1 score97.71Unverified
3GANet(ResNet-18)F1 score97.68Unverified
4CLRNet(ResNet-101)F1 score97.62Unverified
5GANet(ResNet-101)F1 score97.45Unverified
6CondLaneNet(ResNet-34)F1 score97.01Unverified
7CLRNetV2 (ResNet18)Accuracy96.99Unverified
8PE-RESAAccuracy96.93Unverified
9FOLOLane(ERFNet)Accuracy96.92Unverified
10CLRNet(ResNet-34)Accuracy96.9Unverified
#ModelMetricClaimedVerifiedStatus
1CondLSTR (ResNet-101)F1 score88.47Unverified
2CondLSTR (ResNet-34)F1 score88.23Unverified
3CondLSTR (ResNet-18)F1 score87.99Unverified
4CANet-LF1 score87.87Unverified
5CLRNetV2 (ResNet101)F1 score87.81Unverified
6CANet-MF1 score87.19Unverified
7CANet-SF1 score86.57Unverified
8CLRerNet-DLA34F1 score86.47Unverified
9CLRNet-DLA34F1 score86.1Unverified
10CondLaneNet-L(ResNet-101)F1 score86.1Unverified
#ModelMetricClaimedVerifiedStatus
1TwinLiteNetPlus-LargeIoU (%)34.2Unverified
2TwinLiteNetPlus-MediumIoU (%)32.3Unverified
3HybridNetsIoU (%)31.6Unverified
4TwinLiteNetIoU (%)31.08Unverified
5TriLiteNet-baseIoU (%)29.8Unverified
6TwinLiteNetPlus-SmallIoU (%)29.3Unverified
7A-YOLOM(s)IoU (%)28.8Unverified
8YOLOPv2IoU (%)27.25Unverified
9YOLOPIoU (%)26.2Unverified
10TwinLiteNetPlus-NanoIoU (%)23.3Unverified
#ModelMetricClaimedVerifiedStatus
1FENetV2mF171.85Unverified
2CLRNet (DLA-34)F10.96Unverified
3BézierLaneNet (ResNet-34)F10.96Unverified
4LaneAFF10.96Unverified
5CLRNet (ResNet-18)F10.96Unverified
6BézierLaneNet (ResNet-18)F10.96Unverified
7LaneATT (ResNet-34)F10.94Unverified
8LaneATT (ResNet-122)F10.94Unverified
9LaneATT (ResNet-18)F10.93Unverified
10PolyLaneNetF10.88Unverified
#ModelMetricClaimedVerifiedStatus
1DSLPIoU0.45Unverified
2LaneGraphNetIoU0.42Unverified
3STSUIoU0.39Unverified
#ModelMetricClaimedVerifiedStatus
1CondLSTR (ResNet-101)F1 score63.4Unverified
2CondLSTR (ResNet-34)F1 score62Unverified
3CondLSTR (ResNet-18)F1 score60.1Unverified
#ModelMetricClaimedVerifiedStatus
1VPGNetF10.88Unverified
2Overfeat CNN detector + DBSCANF10.87Unverified
#ModelMetricClaimedVerifiedStatus
1VPGNetF10.87Unverified
2Overfeat CNN detector + DBSCANF10.86Unverified
#ModelMetricClaimedVerifiedStatus
1LDNetAverage IOU62.79Unverified
#ModelMetricClaimedVerifiedStatus
1LLDN-GFCF182.12Unverified
#ModelMetricClaimedVerifiedStatus
1TopoLogicmAP33.2Unverified
#ModelMetricClaimedVerifiedStatus
1SCNN_UNet_Attention_PL*F10.92Unverified