% Key papers for Lane detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2021_keep_17228,
  title = {{Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2018_roadtracer_13538,
  title = {{RoadTracer: Automatic Extraction of Road Networks From Aerial Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Bastani_RoadTracer_Automatic_Extraction_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_clrnet_18418,
  title = {{CLRNet: Cross Layer Refinement Network for Lane Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2021_resa_1225,
  title = {{RESA: Recurrent Feature-Shift Aggregator for Lane Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03547-resa-recurrent-feature-shift-aggregator-for-lane-detection/},
}

@inproceedings{cvpr2019_improved_14309,
  title = {{Improved Road Connectivity by Joint Learning of Orientation and Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_rethinking_19722,
  title = {{Rethinking Efficient Lane Detection via Curve Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_fastdraw_14201,
  title = {{FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_learning_14389,
  title = {{Learning Attraction Field Representation for Robust Line Segment Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_line_17354,
  title = {{Line Segment Detection Using Transformers Without Edges}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_reasonnet_22003,
  title = {{ReasonNet: End-to-End Driving With Temporal and Global Reasoning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22579},
}

@inproceedings{cvpr2017_mcmlsd_12444,
  title = {{MCMLSD: A Dynamic Programming Approach to Line Segment Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2023_deeplsd_20751,
  title = {{DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22052},
}

@inproceedings{aaai2022_laneformer_2301,
  title = {{Laneformer: Object-Aware Row-Column Transformers for Lane Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00799-laneformer-object-aware-row-column-transformers-for-lane-detection/},
}

@inproceedings{cvpr2020_looking_15045,
  title = {{"Looking at the Right Stuff" - Guided Semantic-Gaze for Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_lane2seq_23914,
  title = {{Lane2Seq: Towards Unified Lane Detection via Sequence Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31427},
}

@inproceedings{cvpr2024_muge_24199,
  title = {{MuGE: Multiple Granularity Edge Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31730},
}

@inproceedings{aaai2024_sketch_7351,
  title = {{Sketch and Refine: Towards Fast and Accurate Lane Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27860},
}

@inproceedings{aaai2024_gsenet_6096,
  title = {{GSENet:Global Semantic Enhancement Network for Lane Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29433},
}

@inproceedings{cvpr2022_transformer_20091,
  title = {{Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_towards_20042,
  title = {{Towards Driving-Oriented Metric for Lane Detection Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2024_a_5036,
  title = {{A Hybrid Global-Local Perception Network for Lane Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27858},
}

@inproceedings{iclr2024_lanesegnet_34229,
  title = {{LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18846},
}

@inproceedings{aaai2024_selective_7284,
  title = {{Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29080},
}

@inproceedings{aaai2025_improving_9540,
  title = {{Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32799},
}

@inproceedings{aaai2025_geonet_9272,
  title = {{GEONet: Global Enhancement and Optimization Network for Lane Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32924},
}

@inproceedings{neurips2024_on_74529,
  title = {{On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93053},
}

@inproceedings{iclr2026_online_87737,
  title = {{Online Navigation Refinement: Achieving Lane-Level Guidance by Associating Standard-Definition and Online Perception Maps}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=epbzV3FLcI},
}

@inproceedings{neurips2024_a_71168,
  title = {{A Siamese Transformer with Hierarchical Refinement for Lane Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96059},
}

@inproceedings{neurips2026_driver_90318,
  title = {{Driver Attention as Competitive Allocation: A Scene--Task-Aware Dual-Branch Framework}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153047},
}