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https://github.com/charmve/awesome-lane-detection

A paper list with code of lane detection.
https://github.com/charmve/awesome-lane-detection
List: awesome-lane-detection
awesome charmve deep-learning lane lane-detection lane-lines-detection lanenet paper self-driving self-driving-car
Last synced: 2 months ago
JSON representation
A paper list with code of lane detection.
Host: GitHub
URL: https://github.com/charmve/awesome-lane-detection
Owner: Charmve
License: mit
Created: 2020-10-01T16:36:42.000Z (about 4 years ago)
Default Branch: main
Last Pushed: 2023-02-25T02:27:21.000Z (almost 2 years ago)
Last Synced: 2024-05-23T08:04:08.858Z (7 months ago)
Topics: awesome, charmve, deep-learning, lane, lane-detection, lane-lines-detection, lanenet, paper, self-driving, self-driving-car
Language: Python
Homepage: https://github.com/Charmve
Size: 7.78 MB
Stars: 54
Watchers: 2
Forks: 20
Open Issues: 1
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project

ultimate-awesome - awesome-lane-detection - A paper list with code of lane detection. (Other Lists / Monkey C Lists)
README

        # 🏆 Awesome-Lane-Detection 



  

  

  





    

    
Lane Detection Demo



## Content 🎯

* [Paper](#Paper)

  * [2020](#2020)

  * [2019](#2019)

  * [2018](#2018)

  * [2017](#2017)

* [Code](#Code)

* [Blog/Tutorial](#Blog/Tutorial)

* [Datasets](#Datasets)

## Paper 📑

[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/multi-stage-progressive-image-restoration/deblurring-on-gopro)](https://paperswithcode.com/task/lane-detection)

https://paperswithcode.com/task/lane-detection 

### 2020

- LaneNet: Real-Time LaneDtection Networks for Autonomous Driving [📑paper](https://arxiv.org/abs/1802.05591)  GitHub

- SAD: Learning Lightweight Lane Detection CNNs by Self Atrention Distillation [📑paper](https://arxiv.org/pdf/1908.00821.pdf) GitHub 

- PiNet: Key Points Estimation and Point Instance Segmentation Approach for Lane Detection [📑paper](https://arxiv.org/abs/2002.06604)  GitHub

- [End-to-end Lane Shape Prediction with Transformers](https://arxiv.org/abs/2007.12147)  CVPR 2020  📂 [Datasets](https://github.com/xbjxh/curvelanes)  GitHub 

- [RESA: Recurrent Feature-Shift Aggregator for Lane Detection](https://arxiv.org/abs/2008.13719)

- [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)  GitHub

- [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  ECCV 2020

- [PolyLaneNet: Lane Estimation via Deep Polynomial Regression](https://arxiv.org/abs/2004.10924)  GitHub 

- [Inter-Region Affinity Distillation for Road Marking Segmentation](https://arxiv.org/abs/2004.05304)  GitHub  CVPR 2020

- [Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection](https://arxiv.org/abs/2003.10656)   GitHub 📂 [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

- [PINet：Key Points Estimation and Point Instance Segmentation Approach for Lane Detection](https://arxiv.org/abs/2002.06604)   GitHub

- [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 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

- [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

- [Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks](https://arxiv.org/abs/1903.02193)  GitHub

- [End-to-end Lane Detection through Differentiable Least-Squares Fitting](https://arxiv.org/abs/1902.00293)   GitHub

### 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)    [paper study](https://mp.weixin.qq.com/s/sGbSiCHpKjqKe9FP1ykjGw)  GitHub 

- [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)  GitHub ICCV 2017

## 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)

[PolyLaneNet：最新车道线检测开源算法，多项式回归实时高效](https://mp.weixin.qq.com/s/u-mMA6oZiQ8EvhVqUYJMwg)

[ECCV2020 | 300+FPS！浙大提出一种超快速车道线检测方法](https://mp.weixin.qq.com/s/NvVh3GO9iOGsftYgOlRb3Q)

[ECCV2020 | Gen-LaneNet：百度Apollo提出两阶段的3D车道线检测算法，已开源](https://mp.weixin.qq.com/s/AgMIgrTjfwlgCxnrr7JCRA)

[CurcveLane-NAS：华为&中大提出一种结合NAS的曲线车道检测算法](https://mp.weixin.qq.com/s/pQUKFZRgG1LNPmE6oHY3GA)

[韩国研究院最新开源——基于关键点估计和实例分割的车道线检测方法](https://mp.weixin.qq.com/s/Qv1fK6mLTB4hC0Dn0drMfQ)

[鲁汶大学提出可端到端学习的车道线检测算法](https://mp.weixin.qq.com/s/YTP4L1f7RAO2HAWNzts-lg)

[【Papers】Lane-Detection 近期车道线检测论文阅读总结](https://www.cnblogs.com/lylec/p/13787589.html)

车道线检测

End-to-end Lane Shape Prediction with Transformers

使用 Transformer 捕获道路中细长车道线特征和全局特征，所发明的车道线检测算法与以往相比，可端到端训练、参数量更少、速度更快（高达 420 fps，单 1080Ti）。



    - 作者 | Ruijin Liu, Zejian Yuan, Tie Liu, Zhiliang Xiong


    - 单位 | 西安交通大学；首都师范大学等


    - 论文 | https://arxiv.org/abs/2011.04233


    - 代码 | https://github.com/liuruijin17/LSTR


    - 详解 | Transformer 又立功了！又快(420 fps)又好的车道线检测算法





    



## 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)

- [HD Maps](http://apolloscape.auto/lane_segmentation.html) 

## Citation

Use this bibtex to cite this repository:

```

@misc{Awesome-Lane-Detection,

  title={Awesome-Lane-Detection: Some Works of Lane Detection},

  author={Charmve},

  year={2020.09},

  publisher={Github},

  journal={GitHub repository},

  howpublished={\url{https://github.com/Charmve/Awesome-Lane-Detection}},

}

```

## Contact & Feedback :octocat:

If you have any suggestions about papers, feel free to mail me :)  📧 [email protected]

- blog

- [pull](https://github.com/Charmve/awesome-lane-detection/pulls)

- [issues](https://github.com/Charmve/Awesome-Lane-Detection/issues)