mlsanityData to 7 Oct 2026

Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes

arXiv 2203.15302 ↗First posted 29 Mar 2022cs.CVcited by 32

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Abstract (arXiv)

A novel algorithm to detect road lanes in the eigenlane space is proposed in this paper. First, we introduce the notion of eigenlanes, which are data-driven descriptors for structurally diverse lanes, including curved, as well as straight, lanes. To obtain eigenlanes, we perform the best rank-M approximation of a lane matrix containing all lanes in a training set. Second, we generate a set of lane candidates by clustering the training lanes in the eigenlane space. Third, using the lane candidates, we determine an optimal set of lanes by developing an anchor-based detection network, called SIIC-Net. Experimental results demonstrate that the proposed algorithm provides excellent detection performance for structurally diverse lanes. Our codes are available at https://github.com/dongkwonjin/Eigenlanes.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). Builds on 20 of its 35 references that are in the map. First posted on arXiv 29 Mar 2022.

Builds on

20 of 35 references.

References · 20

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  3. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
  4. 2015SSD: Single Shot MultiBox Detectorcited by 3,125
  5. 2018CornerNet: Detecting Objects as Paired Keypointscited by 763
  6. 2017Spatial As Deep: Spatial CNN for Traffic Scene Understandingcited by 187
  7. 2019Learning Lightweight Lane Detection CNNs by Self Attention Distillationcited by 162
  8. 2020Keep your Eyes on the Lane: Real-time Attention-guided Lane Detectioncited by 137
  9. 2018Towards End-to-End Lane Detection: an Instance Segmentation Approachcited by 129
  10. 2020Ultra Fast Structure-aware Deep Lane Detectioncited by 121
  11. 2021CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolutioncited by 95
  12. 2020CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blendingcited by 80
8 more
  1. 2020RESA: Recurrent Feature-Shift Aggregator for Lane Detectioncited by 77
  2. 2021Focus on Local: Detecting Lane Marker from Bottom Up via Key Pointcited by 65
  3. 2020Inter-Region Affinity Distillation for Road Marking Segmentationcited by 58
  4. 2020Deep Hough Transform for Semantic Line Detectioncited by 42
  5. 2014Real time Detection of Lane Markers in Urban Streetscited by 41
  6. 2018EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detectioncited by 35
  7. 2019FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Networkcited by 34
  8. 2021Harmonious Semantic Line Detection via Maximal Weight Clique Selectioncited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 11; 2024: 10; 2025: 8; 2026: 3.

32 papers.

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  1. 2023Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detectioncited by 48
  2. 2023LATR: 3D Lane Detection from Monocular Images with Transformercited by 44
  3. 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecastingcited by 41
  4. 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Modelcited by 35
  5. 2023Building Lane-Level Maps from Aerial Imagescited by 12
  6. 2023Recursive Video Lane Detectioncited by 9
  7. 2024Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlookscited by 9
  8. 2024DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representationcited by 9
  9. 2023LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Networkcited by 8
  10. 2024Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regressioncited by 8
  11. 2023Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLosscited by 5
  12. 2024Lane2Seq: Towards Unified Lane Detection via Sequence Generationcited by 5
20 more
  1. 2023Dense Hybrid Proposal Modulation for Lane Detectioncited by 4
  2. 2023HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolutioncited by 4
  3. 2024OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detectioncited by 4
  4. 2024Monocular Lane Detection Based on Deep Learning: A Surveycited by 4
  5. 2024LaneTCA: Enhancing Video Lane Detection with Temporal Context Aggregationcited by 3
  6. 2025GLane3D : Detecting Lanes with Graph of 3D Keypointscited by 3
  7. 2024Homography Guided Temporal Fusion for Road Line and Marking Segmentationcited by 2
  8. 2025Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detectioncited by 2
  9. 2025PriorFusion: Unified Integration of Priors for Robust Road Perception in Autonomous Drivingcited by 2
  10. 2024Polar R-CNN: End-to-End Lane Detection with Fewer Anchorscited by 1
  11. 2025Datasets for Lane Detection in Autonomous Driving: A Comprehensive Reviewcited by 1
  12. 2025Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillationcited by 1
  13. 2023HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalizationcited by 0
  14. 2023ElasticLaneNet: An Efficient Geometry-Flexible Approach for Lane Detectioncited by 0
  15. 2025Breaking Down Monocular Ambiguity: Exploiting Temporal Evolution for 3D Lane Detectioncited by 0
  16. 2025DiffusionLane: Diffusion Model for Lane Detectioncited by 0
  17. 2025Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mappingcited by 0
  18. 2026Effective and Low-cost Lane-based Map Localization for Vehicle-Centric Route Generationcited by 0
  19. 2026HSDF-Lane: Height-Aligned Signed Distance Field with Semantic Lane Prior for 3D Lane Detectioncited by 0
  20. 2026SIGMA-Lane: Scale-pyramId Gated MAmba for Temporally Consistent Video Lane Detectioncited by 0