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
Rail Detection: An Efficient Row-based Network and A New BenchmarkCode1
Structure Guided Lane DetectionCode1
Learning to Predict Navigational Patterns from Partial ObservationsCode1
DALNet: A Rail Detection Network Based on Dynamic Anchor LineCode1
LVLane: Deep Learning for Lane Detection and Classification in Challenging ConditionsCode1
Robust Lane Detection via Expanded Self AttentionCode1
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation MapsCode1
Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual RepresentationsCode1
YOLOP: You Only Look Once for Panoptic Driving PerceptionCode1
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision SensorCode1
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and HighwaysCode1
RONELD: Robust Neural Network Output Enhancement for Active Lane DetectionCode1
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane DetectionCode1
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse LanesCode1
Lane2Seq: Towards Unified Lane Detection via Sequence GenerationCode1
LaneAF: Robust Multi-Lane Detection with Affinity FieldsCode1
WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane LabelsCode1
Inter-Region Affinity Distillation for Road Marking SegmentationCode1
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style TransferCode1
RESA: Recurrent Feature-Shift Aggregator for Lane DetectionCode1
Keep your Eyes on the Lane: Real-time Attention-guided Lane DetectionCode1
Key Points Estimation and Point Instance Segmentation Approach for Lane DetectionCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
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
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane DetectionCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
DLNet: Direction-Aware Feature Integration for Robust Lane Detection in Complex EnvironmentsCode0
Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated VehiclesCode0
Dense Hybrid Proposal Modulation for Lane DetectionCode0
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-PointsCode0
Semantic Instance Segmentation with a Discriminative Loss FunctionCode0
Copy-and-Paste Networks for Deep Video InpaintingCode0
Contrastive Learning for Lane Detection via cross-similarityCode0
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural NetworksCode0
Spatial As Deep: Spatial CNN for Traffic Scene UnderstandingCode0
Towards End-to-End Lane Detection: an Instance Segmentation ApproachCode0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape MatchingCode0
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model DevelopmentCode0
Enhanced free space detection in multiple lanes based on single CNN with scene identificationCode0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
OMR: Occlusion-Aware Memory-Based Refinement for Video Lane DetectionCode0
Learning to Cluster for Proposal-Free Instance SegmentationCode0
Learning Lightweight Lane Detection CNNs by Self Attention DistillationCode0
End-to-end Lane Detection through Differentiable Least-Squares FittingCode0
LaneTCA: Enhancing Video Lane Detection with Temporal Context AggregationCode0
LaneNet: Real-Time Lane Detection Networks for Autonomous DrivingCode0
Lane Detection and Classification using Cascaded CNNsCode0
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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