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 51100 of 251 papers

TitleStatusHype
RONELD: Robust Neural Network Output Enhancement for Active Lane DetectionCode1
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard ImagesCode1
Rail Detection: An Efficient Row-based Network and A New BenchmarkCode1
DALNet: A Rail Detection Network Based on Dynamic Anchor LineCode1
PolyLaneNet: Lane Estimation via Deep Polynomial RegressionCode1
Recurrent Generic Contour-based Instance Segmentation with Progressive LearningCode1
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation MapsCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models under Real-world Driving ConditionsCode1
Polar R-CNN: End-to-End Lane Detection with Fewer AnchorsCode1
Recursive Video Lane DetectionCode1
Inter-Region Affinity Distillation for Road Marking SegmentationCode1
LVLane: Deep Learning for Lane Detection and Classification in Challenging ConditionsCode1
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse LanesCode1
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision SensorCode1
Learning to Predict Navigational Patterns from Partial ObservationsCode1
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style TransferCode1
LaneAF: Robust Multi-Lane Detection with Affinity FieldsCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and HighwaysCode1
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane DetectionCode1
Lane2Seq: Towards Unified Lane Detection via Sequence GenerationCode1
RepVF: A Unified Vector Fields Representation for Multi-task 3D PerceptionCode1
End-to-End Lane detection with One-to-Several TransformerCode1
End-to-End Lane Marker Detection via Row-wise ClassificationCode1
End-to-end Lane Shape Prediction with TransformersCode1
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane DetectionCode1
PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on TransformerCode1
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions0
Deflating Dataset Bias Using Synthetic Data Augmentation0
Automated Lane Detection in Crowds using Proximity Graphs0
Jointly Learning Spatial, Angular, and Temporal Information for Enhanced Lane Detection0
Deep Multi-Sensor Lane Detection0
Decoupling the Curve Modeling and Pavement Regression for Lane Detection0
DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection0
Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review0
Attention-based U-Net Method for Autonomous Lane Detection0
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention0
CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention0
A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions0
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection0
Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection0
Heatmap-based Vanishing Point boosts Lane Detection0
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation0
Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison0
GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping0
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
GLane3D : Detecting Lanes with Graph of 3D Keypoints0
A Robust Real-Time Lane Detection Method with Fog-Enhanced Feature Fusion for Foggy Conditions0
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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
9CondLaneNet-L(ResNet-101)F1 score86.1Unverified
10CLRNet-DLA34F1 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