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 151200 of 251 papers

TitleStatusHype
Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations0
Efficient Road Lane Marking Detection with Deep Learning0
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception0
ElasticLaneNet: An Efficient Geometry-Flexible Approach for Lane Detection0
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection0
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving0
End-to-End Monocular Vanishing Point Detection Exploiting Lane Annotations0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning0
End to End Video Segmentation for Driving : Lane Detection For Autonomous Car0
ENet-21: An Optimized light CNN Structure for Lane Detection0
Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles0
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network0
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection0
Focus on Local: Detecting Lane Marker from Bottom Up via Key Point0
Freespace Optical Flow Modeling for Automated Driving0
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection0
GLane3D : Detecting Lanes with Graph of 3D Keypoints0
GLane3D: Detecting Lanes with Graph of 3D Keypoints0
GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping0
Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison0
Heatmap-based Vanishing Point boosts Lane Detection0
HeightLane: BEV Heightmap guided 3D Lane Detection0
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack0
HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution0
How to deal with glare for improved perception of Autonomous Vehicles0
Implementation of Real-Time Lane Detection on Autonomous Mobile Robot0
Improved Generalizability of CNN Based Lane Detection in Challenging Weather Using Adaptive Preprocessing Parameter Tuning0
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization0
Inadequate contrast ratio of road markings as an indicator for ADAS failure0
Jointly Learning Spatial, Angular, and Temporal Information for Enhanced Lane Detection0
Multi Lane Detection0
LaneCorrect: Self-supervised Lane Detection0
LaneCPP: Continuous 3D Lane Detection using Physical Priors0
Lane Detection For Prototype Autonomous Vehicle0
Lane detection in complex scenes based on end-to-end neural network0
Lane Detection System for Driver Assistance in Vehicles0
Lane detection with Position Embedding0
Deep Learning Based Automatic Video Annotation Tool for Self-Driving Car0
Laneformer: Object-aware Row-Column Transformers for Lane Detection0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves0
RowDetr: End-to-End Row Detection Using Polynomials0
SafeDrive: A Robust Lane Tracking System for Autonomous and Assisted Driving Under Limited Visibility0
SafeDrive: Enhancing Lane Appearance for Autonomous and Assisted Driving Under Limited Visibility0
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving0
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection0
Semi-Local 3D Lane Detection and Uncertainty Estimation0
Semi-supervised lane detection with Deep Hough Transform0
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception0
Sparse Laneformer0
Sparse Point Guided 3D 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
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