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 201250 of 251 papers

TitleStatusHype
Ultra Fast Structure-aware Deep Lane DetectionCode2
PolyLaneNet: Lane Estimation via Deep Polynomial RegressionCode1
Traffic Lane Detection using FCN0
Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated DrivingCode0
Inter-Region Affinity Distillation for Road Marking SegmentationCode1
Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios0
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane DetectionCode1
Semi-Local 3D Lane Detection and Uncertainty Estimation0
Key Points Estimation and Point Instance Segmentation Approach for Lane DetectionCode1
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style TransferCode1
Multi-lane Detection Using Instance Segmentation and Attentive Voting0
Lane Detection For Prototype Autonomous Vehicle0
Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT0
Dynamic Approach for Lane Detection using Google Street View and CNN0
Copy-and-Paste Networks for Deep Video InpaintingCode0
Learning Lightweight Lane Detection CNNs by Self Attention DistillationCode0
Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks0
Lane Detection and Classification using Cascaded CNNsCode0
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions0
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network0
Deep Multi-Sensor Lane Detection0
Agnostic Lane Detection0
Enhanced free space detection in multiple lanes based on single CNN with scene identificationCode0
Multiple Encoder-Decoders Net for Lane Detection0
Deep Learning Based Automatic Video Annotation Tool for Self-Driving Car0
Using DP Towards A Shortest Path Problem-Related Application0
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural NetworksCode0
End-to-end Lane Detection through Differentiable Least-Squares FittingCode0
End to End Video Segmentation for Driving : Lane Detection For Autonomous Car0
3D-LaneNet: End-to-End 3D Multiple Lane DetectionCode1
Efficient Road Lane Marking Detection with Deep Learning0
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection0
Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation0
SafeDrive: Enhancing Lane Appearance for Autonomous and Assisted Driving Under Limited Visibility0
LineNet: a Zoomable CNN for Crowdsourced High Definition Maps Modeling in Urban Environments0
Real-time stereo vision-based lane detection system0
LaneNet: Real-Time Lane Detection Networks for Autonomous DrivingCode0
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection0
Real-time Lane Marker Detection Using Template Matching with RGB-D Camera0
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Learning to Cluster for Proposal-Free Instance SegmentationCode0
Towards End-to-End Lane Detection: an Instance Segmentation ApproachCode0
Spatial As Deep: Spatial CNN for Traffic Scene UnderstandingCode0
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and RecognitionCode0
Semantic Instance Segmentation with a Discriminative Loss FunctionCode0
Automated Lane Detection in Crowds using Proximity Graphs0
SafeDrive: A Robust Lane Tracking System for Autonomous and Assisted Driving Under Limited Visibility0
End to End Learning for Self-Driving CarsCode2
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving0
A Robust Lane Detection and Departure Warning System0
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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