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A Keypoint-based Global Association Network for Lane Detection

https://doi.org/10.1109/cvpr52688.2022.00145

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-11009-3_15openalex-snapshot

EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection

inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-snapshot

End-to-End Object Detection with Transformers

inferredcites →https://doi.org/10.1007/978-3-030-58555-6_41openalex-snapshot

CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending

inferredcites →https://doi.org/10.1007/978-3-030-58586-0_17openalex-snapshot

Ultra Fast Structure-Aware Deep Lane Detection

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot

Stacked Hourglass Networks for Human Pose Estimation

inferredcites →https://doi.org/10.1109/cvpr.2016.255openalex-snapshot

End-to-End People Detection in Crowded Scenes

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.01185openalex-snapshot

FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00676openalex-snapshot

Deformable Siamese Attention Networks for Visual Object Tracking

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00036openalex-snapshot

Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01390openalex-snapshot

Focus on Local: Detecting Lane Marker from Bottom Up via Key Point

inferredcites →https://doi.org/10.1109/cvprw50498.2020.00511openalex-snapshot

End-to-End Lane Marker Detection via Row-wise Classification

inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/iccv.2017.89openalex-snapshot

Deformable Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2019.00110openalex-snapshot

Learning Lightweight Lane Detection CNNs by Self Attention Distillation

inferredcites →https://doi.org/10.1109/iccv.2019.00975openalex-snapshot

RepPoints: Point Set Representation for Object Detection

inferredcites →https://doi.org/10.1109/iccv48922.2021.00375openalex-snapshot

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

inferredcites →https://doi.org/10.1109/icpr48806.2021.9412265openalex-snapshot

PolyLaneNet: Lane Estimation via Deep Polynomial Regression

inferredcites →https://doi.org/10.1109/ivs.2018.8500547openalex-snapshot

Towards End-to-End Lane Detection: an Instance Segmentation Approach

inferredcites →https://doi.org/10.1109/lsp.2020.3013518openalex-snapshot

Deformable 3D Convolution for Video Super-Resolution

inferredcites →https://doi.org/10.1109/tits.2019.2890870openalex-snapshot

Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit

inferredcites →https://doi.org/10.1109/tits.2021.3088488openalex-snapshot

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/wacv48630.2021.00374openalex-snapshot

End-to-end Lane Shape Prediction with Transformers

inferredcites →https://doi.org/10.1609/aaai.v32i1.12301openalex-snapshot

Spatial as Deep: Spatial CNN for Traffic Scene Understanding

inferredcites →https://doi.org/10.1609/aaai.v33i01.33018167openalex-snapshot

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot

Exploiting Generative AI to Scale up Intelligent Tutoring Systems

inferredcites →https://doi.org/10.48550/arxiv.1904.06903openalex-snapshot

Learning Deformable Kernels for Image and Video Denoising

inferredcites →https://doi.org/10.48550/arxiv.2008.08311openalex-snapshot

Towards Lightweight Lane Detection by Optimizing Spatial Embedding

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Perception Module of Autonomous Driving

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ULNet: A Lightweight Segmentation Network for Lane Detection

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CCLane: Concise Curve Anchor-Based Lane Detection Model with MLP-Mixer

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Structure-guided feature fusion and geometric angle supervision for robust lane detection

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GDALaneNet: A feature fusion strategy balances global awareness and detail accuracy in lane detection

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Lane2Seq: Towards Unified Lane Detection via Sequence Generation

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Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection

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Towards Weakly-Supervised Domain Adaptation for Lane Detection

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A Lane Detection Method for Advancing Sustainable Energy Internet

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Lane Environment Detection with Only On-Board Camera

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A Lightweight Lane Detection Network Based on Adaptive Anchor Generation

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Lane Line Detection Algorithm Based on Global Attention and Reconstruction of Spatial Pyramid Pooling

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Lane Detection based on Generative Adversarial Networks and Attention Mechanism

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Two-Stage Lane Detection Based on Attention Mechanism and Post-Processing of Prediction

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Zigzag Attention: A Structural Aware Module For Lane Detection

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Refinement Bird’s Eye View Feature for 3D Lane Detection with Dual-Branch View Transformation Module

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CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection

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Proportional Feature Pyramid Network for Lane Detection

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Robust Lane Detection with Knowledge Distillation

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PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction

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ADNet: Lane Shape Prediction via Anchor Decomposition

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Generating Dynamic Kernels via Transformers for Lane Detection

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LATR: 3D Lane Detection from Monocular Images with Transformer

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Recursive Video Lane Detection

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SparseLaneSTP: Leveraging Spatio-Temporal Priors with Sparse Transformers for 3D Lane Detection

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EALaneNet: Enhancing Lane Detection with Edge-Aware Unit and Curvature-Optimized Loss

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3Dlaneformer: Rethinking Learning Views for 3D Lane Detection

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FENet: Focusing Enhanced Network for Lane Detection

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DiffLane: Diffusion Model-Based Lane Mask Generation for Accurate Video Lane Detection

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CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention

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Bi2Lane: Bi-Directional Temporal Refinement with Bi-Level Feature Aggregation for 3D Lane Detection

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LiDAR Multi-Task BeV model for Semantic Segmentation and Lane Detection

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Anchor Query based Transformer for Lane Detection

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The lane detection algorithm for row classification based on dynamic shape perception and feature alignment

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LaneMind: Seeing Lanes Like Human Drivers

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CLRKDNet: Speeding Up Lane Detection with Knowledge Distillation

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Transferable Lane Detection via Adjacency-Guided Instance Interaction and Label Reassignment

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AdvLIM-LD: Toward Cross-Task Physical Adversarial Attack via LED Illumination Modulation for Lane Detection Systems

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Deep Learning for 3-D Lane Detection in Autonomous Driving: A Survey

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A Context-Enhanced Network for Underwater Pipeline Edge Detection Based on Keypoint Representation

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Adaptive Lane Angle Prior and Feature Enhancement for Robust Lane Detection

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A Lane Line Detection Method Based on Squeeze and Excitation Network

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FVHNet: Homography Matrix Estimation for Virtual Camera

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Fast and Accurate Adaptive Lane Detection via Curve Modeling

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Incremental Learning-Based Lane Detection for Automated Rubber-Tired Gantries in a Container Terminal

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STADet: Streaming Timing-Aware Video Lane Detection

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SMFRNet: Complex Scene Lane Detection With Start Point-Guided Multi-Dimensional Feature Refinement

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LaneTCA: Enhancing Video Lane Detection With Temporal Context Aggregation

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Multitask Knowledge Distillation Guides End-to-End Lane Detection

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PortLaneNet: Enhancing Port RTG Lane Detection With Explicit Feature Learning Network

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FRVO-Mono: Feature-Based Railway Visual Odometry With Monocular Camera

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DALNet: A Rail Detection Network Based on Dynamic Anchor Line

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Segmentation-Based Woven Fabric Density Measurement

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GSF-3DLane: Ground Surface Fitting for 3D Lane Detection Based on Monocular Depth Estimation

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Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection

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HWLane: HW-Transformer for Lane Detection

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Hyper-Anchor Based Lane Detection

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Lane Detection by Variational Auto-Encoder With Normalizing Flow for Autonomous Driving

inferred← citeshttps://doi.org/10.1109/tits.2024.3507536openalex-snapshot

Steering Angle-Guided Multimodal Fusion Lane Detection for Autonomous Driving

inferred← citeshttps://doi.org/10.1109/tits.2024.3524603openalex-snapshot

Lane Detection for Autonomous Driving: Comprehensive Reviews, Current Challenges, and Future Predictions

inferred← citeshttps://doi.org/10.1109/tits.2025.3545621openalex-snapshot

Parallel Heterogeneous Networks With Adaptive Routing for Online Video Lane Detection

inferred← citeshttps://doi.org/10.1109/tits.2025.3550745openalex-snapshot

Monocular 3D Lane Detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

inferred← citeshttps://doi.org/10.1109/tits.2025.3554695openalex-snapshot

A Survey on Deep Learning-Based Lane Detection Algorithms for Camera and LiDAR

inferred← citeshttps://doi.org/10.1109/tits.2025.3560337openalex-snapshot

CurveFormer++: 3D Lane Detection by Curve Propagation With Temporal Curve Queries and Attention

inferred← citeshttps://doi.org/10.1109/tits.2025.3565272openalex-snapshot

Freq-3DLane: 3D Lane Detection From Monocular Images via Frequency-Aware Feature Fusion

inferred← citeshttps://doi.org/10.1109/tits.2025.3591901openalex-snapshot

CSGNet: A LiDAR-Based Lane Detection Network With Cyclic-Shifting Group Convolution

inferred← citeshttps://doi.org/10.1109/tits.2025.3601380openalex-snapshot

24-h Lane Line Detection via Parallel Scene Information Collaboration

inferred← citeshttps://doi.org/10.1109/tits.2025.3602078openalex-snapshot

DLNet: Direction-Aware Feature Integration for Robust Lane Detection in Complex Environments

inferred← citeshttps://doi.org/10.1109/tits.2025.3628655openalex-snapshot

Track 2 Net: A Fast Lightweight Model With Keypoint Alignment and Track Anchors Identification for Railway Line Tracking

inferred← citeshttps://doi.org/10.1109/tits.2026.3676624openalex-snapshot

BANet: Bidirectional Feature Aggregation and Adaptive Multi-Scene Perception-Based Lane Detection for Autonomous Driving

inferred← citeshttps://doi.org/10.1109/tiv.2023.3319547openalex-snapshot

Oblique Convolution: A Novel Convolution Idea for Redefining Lane Detection

inferred← citeshttps://doi.org/10.1109/tiv.2024.3370213openalex-snapshot

DBNet: A Curve-Based Dynamic Association Framework for Lane Detection

inferred← citeshttps://doi.org/10.1109/tiv.2024.3406867openalex-snapshot

3D Lane Detection From Front or Surround-View Using Joint-Modeling and Matching

inferred← citeshttps://doi.org/10.1109/tpami.2024.3508798openalex-snapshot

Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression

inferred← citeshttps://doi.org/10.1109/tpami.2025.3551935openalex-snapshot

CLRNetV2: A Faster and Stronger Lane Detector

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00121openalex-snapshot

CLRerNet: Improving Confidence of Lane Detection with LaneIoU

inferred← citeshttps://doi.org/10.1109/wcsp62071.2024.10827490openalex-snapshot

LASA: A Line Anchor Self-Assigned Network for Rail Detection

inferred← citeshttps://doi.org/10.1145/3503161.3547752openalex-snapshot

Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline

inferred← citeshttps://doi.org/10.1145/3605801.3605823openalex-snapshot

Fast Lane Detection Based on Row Anchor Classification

inferred← citeshttps://doi.org/10.1145/3637528.3671579openalex-snapshot

DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation

inferred← citeshttps://doi.org/10.1145/3638584.3638589openalex-snapshot

Keep your Eyes on the Road: Hybrid-Anchor guided Road Perception

inferred← citeshttps://doi.org/10.1145/3664647.3680761openalex-snapshot

LanEvil : Benchmarking the Robustness of Lane Detection to Environmental Illusions

inferred← citeshttps://doi.org/10.1145/3743093.3771071openalex-snapshot

DynaPlane-Lane: Dynamic Multi-Plane Geometry Learning for Robust Monocular 3D Lane Detection

inferred← citeshttps://doi.org/10.1177/03611981251334618openalex-snapshot

HiFi-CaNet: A High-Level-Feature-Guided Cascade Network for Lane Detection

inferred← citeshttps://doi.org/10.1177/03611981261468759openalex-snapshot

SDLane: Efficient Lane Detection via Sparse Anchors and Dynamic Fusion

inferred← citeshttps://doi.org/10.1186/s44147-026-01005-7openalex-snapshot

Multi-lane line detection algorithm based on feature point instance segmentation

inferred← citeshttps://doi.org/10.1371/journal.pone.0332873openalex-snapshot

SR-LMamba: A lane detection model for complex scenes integrating curvelet transform with Mamba architecture

inferred← citeshttps://doi.org/10.1609/aaai.v38i11.29080openalex-snapshot

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

inferred← citeshttps://doi.org/10.1609/aaai.v38i2.27858openalex-snapshot

A Hybrid Global-Local Perception Network for Lane Detection

inferred← citeshttps://doi.org/10.1609/aaai.v38i2.27860openalex-snapshot

Sketch and Refine: Towards Fast and Accurate Lane Detection

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4163321/v1openalex-snapshot

Research on Lane Line Detection Method Based on Cross Attention Mechanism

inferred← citeshttps://doi.org/10.2139/ssrn.5133762openalex-snapshot

A Multi-Frame Fusion Temporal Approach for 3d Lane Detection from Monocular Images

inferred← citeshttps://doi.org/10.23919/iccas66577.2025.11301352openalex-snapshot

Enhancing Anchor-Based Lane Detection with Auxiliary Semantic Segmentation Supervision

inferred← citeshttps://doi.org/10.23919/sicefes67750.2025.11236669openalex-snapshot

Road Detection without Lane Markings for Autonomous Vehicles

inferred← citeshttps://doi.org/10.32604/cmc.2025.063507openalex-snapshot

A Lane Coordinate Generation Model Utilizing Spatial Axis Attention and Multi-Scale Convolution

inferred← citeshttps://doi.org/10.3390/agriculture15131361openalex-snapshot

An Improved YOLOP Lane-Line Detection Utilizing Feature Shift Aggregation for Intelligent Agricultural Machinery

inferred← citeshttps://doi.org/10.3390/app15020699openalex-snapshot

Grid Anchor Lane Detection Based on Attribute Correlation

inferred← citeshttps://doi.org/10.3390/electronics12183738openalex-snapshot

Lane-Level Map Generation and Management Framework Using Connected Car Data

inferred← citeshttps://doi.org/10.3390/electronics13112137openalex-snapshot

Exploring Neighbor Spatial Relationships for Enhanced Lumbar Vertebrae Detection in X-ray Images

inferred← citeshttps://doi.org/10.3390/electronics13132486openalex-snapshot

A Faster and Lightweight Lane Detection Method in Complex Scenarios

inferred← citeshttps://doi.org/10.3390/electronics14132604openalex-snapshot

BSCNNLaneNet: A Novel Bidirectional Spatial Convolution Neural Network for Lane Detection

inferred← citeshttps://doi.org/10.3390/s23198285openalex-snapshot

A Fast and Robust Lane Detection via Online Re-Parameterization and Hybrid Attention

inferred← citeshttps://doi.org/10.3390/s24072116openalex-snapshot

A Fast and Accurate Lane Detection Method Based on Row Anchor and Transformer Structure

inferred← citeshttps://doi.org/10.3390/s24154800openalex-snapshot

Lane Attribute Classification Based on Fine-Grained Description

inferred← citeshttps://doi.org/10.3390/s24175552openalex-snapshot

Multi-Task Environmental Perception Methods for Autonomous Driving

inferred← citeshttps://doi.org/10.3390/s24248098openalex-snapshot

Lane Detection Based on ECBAM_ASPP Model

inferred← citeshttps://doi.org/10.3390/s25082611openalex-snapshot

A Review of Vision-Based Multi-Task Perception Research Methods for Autonomous Vehicles

inferred← citeshttps://doi.org/10.3390/s26196067openalex-snapshot

Infrastructure Preparedness for Autonomous Vehicles in Rural Areas

inferred← citeshttps://doi.org/10.3390/sym18010034openalex-snapshot

ASO-ERFNet: An Adaptive Structural Optimization and Enhanced Receptive Field Network for Lane Detection in Vehicle Tracking

inferred← citeshttps://doi.org/10.3390/wevj15050176openalex-snapshot

PortLaneNet: A Scene-Aware Model for Robust Lane Detection in Container Terminal Environments

inferred← citeshttps://doi.org/10.3788/lop231172openalex-snapshot

基于匹配线索回归的侧面脊柱关键点检测

inferred← citeshttps://doi.org/10.52953/sgml9321openalex-snapshot

The lane detection algorithm based on multiscale aggregated attention fusion network

inferred← citeshttps://doi.org/10.7717/peerj-cs.1824openalex-snapshot

Proportional feature pyramid network based on weight fusion for lane detection

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