# awesome-lane-detection **Repository Path**: armyzzZ/awesome-lane-detection ## Basic Information - **Project Name**: awesome-lane-detection - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-04-28 - **Last Updated**: 2021-04-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # awesome-lane-detection Lane Detection ![](img/Lane_Detection_Demo.jpg) [Paper](#Paper) - [2021](#2021) - [2020](#2020) - [2019](#2019) - [2018](#2018) - [2017](#2017) [Code](#Code) [Blog/Tutorial](#Blog/Tutorial) [Datasets](#Datasets) # Paper ## 2021 [YOLinO: Generic Single Shot Polyline Detection in Real Time](https://arxiv.org/abs/2103.14420) [LaneAF: Robust Multi-Lane Detection with Affinity Fields](https://arxiv.org/abs/2103.12040) [github](https://github.com/sel118/LaneAF) [Robust Lane Detection via Expanded Self Attention](https://arxiv.org/abs/2102.07037) [End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving](https://arxiv.org/abs/2102.04738) ## 2020 [End-to-end Lane Shape Prediction with Transformers](https://arxiv.org/abs/2011.04233) [github](https://github.com/liuruijin17/LSTR) WACV 2021 [3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation](https://arxiv.org/abs/2011.01535) [Keep your Eyes on the Lane: Attention-guided Lane Detection](https://arxiv.org/abs/2010.12035) [github](https://github.com/lucastabelini/LaneATT) [RONELD: Robust Neural Network Output Enhancement for Active Lane Detection](https://arxiv.org/abs/2010.09548) [github](https://github.com/czming/RONELD-Lane-Detection) ICPR 2020 [RESA: Recurrent Feature-Shift Aggregator for Lane Detection](https://arxiv.org/abs/2008.13719) [github](https://github.com/ZJULearning/resa) AAAI 2021 [CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending](https://arxiv.org/abs/2007.12147) ECCV 2020 [Datasets](https://github.com/xbjxh/curvelanes) [Towards Lightweight Lane Detection by Optimizing Spatial Embedding](https://arxiv.org/abs/2008.08311) ECCV 2020 Workshop [Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor](https://arxiv.org/abs/2008.06204) [Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs](https://arxiv.org/abs/2008.03922) [Heatmap-based Vanishing Point boosts Lane Detection](https://arxiv.org/abs/2007.15602) [Synthetic-to-Real Domain Adaptation for Lane Detection](https://arxiv.org/abs/2007.04023) [E2E-LMD: End-to-End Lane Marker Detection via Row-wise Classification](https://arxiv.org/abs/2005.08630) [SUPER: A Novel Lane Detection System](https://arxiv.org/abs/2005.07277) [Ultra Fast Structure-aware Deep Lane Detection](https://arxiv.org/abs/2004.11757) [github](https://github.com/cfzd/Ultra-Fast-Lane-Detection) ECCV 2020 [PolyLaneNet: Lane Estimation via Deep Polynomial Regression](https://github.com/lucastabelini/PolyLaneNet) [github](https://github.com/lucastabelini/PolyLaneNet) [Inter-Region Affinity Distillation for Road Marking Segmentation](https://arxiv.org/abs/2004.05304) [github](https://github.com/cardwing/Codes-for-IntRA-KD) CVPR 2020 [Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection](https://arxiv.org/abs/2003.10656) [github](https://github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection) [Datasets](https://github.com/yuliangguo/3D_Lane_Synthetic_Dataset) ECCV 2020 [Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers](https://arxiv.org/abs/2003.08550) [Semi-Local 3D Lane Detection and Uncertainty Estimation](https://arxiv.org/abs/2003.05257) [FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks](https://arxiv.org/abs/2003.04404) [github](https://github.com/rolandying/FusionLane) [PINet：Key Points Estimation and Point Instance Segmentation Approach for Lane Detection](https://arxiv.org/abs/2002.06604) [github](https://github.com/koyeongmin/PINet) [Better-CycleGAN + ERFNet: Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer](https://arxiv.org/abs/2002.01177) submitted to IV 2020 [Multi-lane Detection Using Instance Segmentation and Attentive Voting](https://arxiv.org/abs/2001.00236) ICCAS 2019 ## 2019 [Dynamic Approach for Lane Detection using Google Street View and CNN]() IEEE TENCON 2019 [Learning Lightweight Lane Detection CNNs by Self Attention Distillation](https://arxiv.org/abs/1908.00821) [github](https://github.com/cardwing/Codes-for-Lane-Detection) ICCV 2019 [Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks](https://arxiv.org/abs/1907.09438) MMSP 2019 [Lane Detection and Classification using Cascaded CNNs](https://arxiv.org/abs/1907.01294) Eurocast 2019 [Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions](https://arxiv.org/abs/1906.00093) [FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network](https://arxiv.org/abs/1905.04354) CVPR 2019 [Agnostic Lane Detection](https://arxiv.org/abs/1905.03704) [github](https://github.com/cardwing/Codes-for-Lane-Detection) [Deep Multi-Sensor Lane Detection](https://arxiv.org/abs/1905.01555) IROS2018 [Enhanced free space detection in multiple lanes based on single CNN with scene identification](https://arxiv.org/abs/1905.00941) IV2019 [github](https://github.com/fabvio/ld-lsi/) [Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks](https://arxiv.org/abs/1903.02193) [End-to-end Lane Detection through Differentiable Least-Squares Fitting](https://arxiv.org/abs/1902.00293) [github](https://github.com/wvangansbeke/LaneDetection_End2End) ## 2018 [End to End Video Segmentation for Driving : Lane Detection For Autonomous Car](https://arxiv.org/abs/1812.05914) [3D-LaneNet: end-to-end 3D multiple lane detection](https://arxiv.org/abs/1811.10203) ICCV 2019 [Efficient Road Lane Marking Detection with Deep Learning](https://arxiv.org/abs/1809.03994) DSP 2018 [Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation](https://arxiv.org/abs/1808.09128) IST 2018 [LineNet: a Zoomable CNN for Crowdsourced High Definition Maps Modeling in Urban Environments](https://arxiv.org/abs/1807.05696) [Real-time stereo vision-based lane detection system](https://arxiv.org/abs/1807.02752) [LaneNet: Real-Time Lane Detection Networks for Autonomous Driving](https://arxiv.org/abs/1807.01726) [EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection](https://arxiv.org/abs/1806.05525) [Real-time Lane Marker Detection Using Template Matching with RGB-D Camera](https://arxiv.org/abs/1806.01621) [Towards End-to-End Lane Detection: an Instance Segmentation Approach](https://arxiv.org/abs/1802.05591) [论文解读](https://mp.weixin.qq.com/s/sGbSiCHpKjqKe9FP1ykjGw) [github](https://github.com/MaybeShewill-CV/lanenet-lane-detection) [Lane Detection and Classification for Forward Collision Warning System Based on Stereo Vision](https://ieeexplore.ieee.org/document/8353455/) [Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision](https://ieeexplore.ieee.org/document/8332138/) [(SCNN)Spatial As Deep: Spatial CNN for Traffic Scene Understanding](https://arxiv.org/abs/1712.06080) AAAI 2018 [CSDN Translator](https://blog.csdn.net/u011974639/article/details/79580798?from=timeline#10006-weixin-1-52626-6b3bffd01fdde4900130bc5a2751b6d1) [Lane Detection Based on Inverse Perspective Transformation and Kalman Filter](http://itiis.org/digital-library/manuscript/file/1921/TIIS+Vol+12,+No+2-6.pdf) # 2017 [A review of recent advances in lane detection and departure warning system](https://www.sciencedirect.com/science/article/pii/S0031320317303266) [Deep Learning Lane Marker Segmentation From Automatically Generated Labels](https://ieeexplore.ieee.org/document/7989163/) [Youtube](https://www.youtube.com/watch?v=AH01wpqqaeA) [VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition](http://openaccess.thecvf.com/content_iccv_2017/html/Lee_VPGNet_Vanishing_Point_ICCV_2017_paper.html) ICCV 2017 [github](https://github.com/SeokjuLee/VPGNet) # Code [Lane Detection（Paper with Code）](https://paperswithcode.com/task/lane-detection) https://github.com/wvangansbeke/LaneDetection_End2End ：Lane Detection with Deep Learning # Blog/Tutorial [Lane Detection with Deep Learning (Part 1)](https://towardsdatascience.com/lane-detection-with-deep-learning-part-1-9e096f3320b7) [Simple Lane Detection with OpenCV](https://medium.com/@mrhwick/simple-lane-detection-with-opencv-bfeb6ae54ec0) [Finding Lane Lines — Simple Pipeline For Lane Detection](https://towardsdatascience.com/finding-lane-lines-simple-pipeline-for-lane-detection-d02b62e7572b) [Building a lane detection system using Python 3 and OpenCV](https://medium.com/@galen.ballew/opencv-lanedetection-419361364fc0) [Tutorial: Build a lane detector](https://towardsdatascience.com/tutorial-build-a-lane-detector-679fd8953132) [Online course: Algorithms for Automated Driving](https://thomasfermi.github.io/Algorithms-for-Automated-Driving/Introduction/intro.html) # Datasets - [TuSimple](https://github.com/TuSimple/tusimple-benchmark) - [CULane](https://xingangpan.github.io/projects/CULane.html) - [BDD100K](http://bdd-data.berkeley.edu/) - [Caltech](http://www.mohamedaly.info/datasets/caltech-lanes) - [VPGNet](https://github.com/SeokjuLee/VPGNet#vpgnet-dataset) - [3D Lane Synthetic Dataset](https://github.com/yuliangguo/3D_Lane_Synthetic_Dataset) - [DIML](https://diml.yonsei.ac.kr/dataset/) - [Jiqing Expressway](https://github.com/vonsj0210/Multi-Lane-Detection-Dataset-with-Ground-Truth) - [A Dataset for Lane Instance Segmentation in Urban Environments](https://arxiv.org/abs/1807.01347) - [The Lane Marker Dataset](https://unsupervised-llamas.com/llamas/) - [DET](https://spritea.github.io/DET/) - [CurveLanes](https://github.com/xbjxh/curvelanes) # Contact & Feedback If you have any suggestions about papers, feel free to mail me :) - [blog](http://www.cverblog.cn/) - [pull](https://github.com/amusi/awesome-lane-detection/pulls)