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🏆 Awesome-Lane-Detection

<p align="left"> <a href="https://github.com/sindresorhus/awesome"><img src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg" alt="Awesome"></a> <a href="https://github.com/Charmve"><img src="https://img.shields.io/badge/Author-@Charmve-000000.svg?logo=GitHub" alt="GitHub"></a> <a href="https://github.com/Charmve/computer-vision-in-action"><img src="https://img.shields.io/badge/CV-in%20Action-yellow" alt="CV-Action"></a> </p> <p align="center"> <img src="image/lane-detection-demo.gif" alt="demo-image" > <br>Lane Detection Demo </p>

Content 🎯

Paper 📑

PWC

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

2020

2019

2018

2017

Code 💻

Lane Detection(Paper with Code)

https://github.com/cardwing/Codes-for-Lane-Detection

https://github.com/karstenBehrendt/unsupervised_llamas

https://github.com/wvangansbeke/LaneDetection_End2End

https://github.com/georgesung/advanced_lane_detection

https://github.com/MaybeShewill-CV/lanenet-lane-detection

https://github.com/XingangPan/SCNN

https://github.com/davidawad/Lane-Detection

https://github.com/yang1688899/CarND-Advanced-Lane-Lines

https://github.com/SeokjuLee/VPGNet

https://github.com/mvirgo/MLND-Capstone:Lane Detection with Deep Learning

https://github.com/galenballew/SDC-Lane-and-Vehicle-Detection-Tracking

https://github.com/shawshany/Advance_LaneFinding

Blog/Tutorial ✏️

Lane Detection with Deep Learning (Part 1)

Simple Lane Detection with OpenCV

Finding Lane Lines — Simple Pipeline For Lane Detection

Building a lane detection system using Python 3 and OpenCV

Tutorial: Build a lane detector

PolyLaneNet:最新车道线检测开源算法,多项式回归实时高效

ECCV2020 | 300+FPS!浙大提出一种超快速车道线检测方法

ECCV2020 | Gen-LaneNet:百度Apollo提出两阶段的3D车道线检测算法,已开源

CurcveLane-NAS:华为&中大提出一种结合NAS的曲线车道检测算法

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

鲁汶大学提出可端到端学习的车道线检测算法

【Papers】Lane-Detection 近期车道线检测论文阅读总结

<h4>车道线检测</h4> <b>End-to-end Lane Shape Prediction with Transformers</b> <p>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)。</p> <p> - 作者 | Ruijin Liu, Zejian Yuan, Tie Liu, Zhiliang Xiong<br> - 单位 | 西安交通大学;首都师范大学等<br> - 论文 | <a href="https://arxiv.org/abs/2011.04233" target="_blank">https://arxiv.org/abs/2011.04233</a><br> - 代码 | <a href="https://github.com/liuruijin17/LSTR" target="_blank">https://github.com/liuruijin17/LSTR</a><br> - 详解 | <a href="https://zhuanlan.zhihu.com/p/287808317" target="_blank">Transformer 又立功了!又快(420 fps)又好的车道线检测算法</a> </p> <p align="center"> <img src="https://pic3.zhimg.com/80/v2-b78467c47f7fa822077e357db2c10fde_720w.jpg" data-caption="" data-size="normal" class="content_image"/> </p>

Datasets 📂

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 :) 📧 yidazhang1@gmail.com