1. 程式人生 > >車道線檢測參考學習資料

車道線檢測參考學習資料

一、GitHub:

https://github.com/ChengZhongShen/Advanced_Lane_Lines

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

https://github.com/kky-fury/Lane_Detection

 

二、知乎:

無人駕駛-車道檢測   https://zhuanlan.zhihu.com/p/46146266

 

三、文獻

SCNN車道線檢測--(SCNN)Spatial As Deep: Spatial CNN for Traffic Scene Understanding(論文解讀)

https://www.cnblogs.com/guoyaohua/p/8940871.html?utm_source=tuicool&utm_medium=referral

 

【論文筆記】 Towards End-to-End Lane Detection: an Instance SegmentationApproach

https://blog.csdn.net/ctfabc4425/article/details/80887259

 

Lanenet 車道線檢測網路模型學習(論文解讀)

https://blog.csdn.net/c20081052/article/details/80622722

 

無人駕駛汽車系統入門(十二)——卷積神經網路入門,基於深度學習的車輛實時檢測

https://blog.csdn.net/adamshan/article/details/79193775

 

車輛檢測和車道檢測

https://blog.csdn.net/weixin_37762749/article/details/80785137

 

A LOOK AT IMAGE SEGMENTATION USING CNNS

https://mohitjain.me/2018/09/30/a-look-at-image-segmentation/?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more

 

車道檢測原始碼分析系列(一)

http://www.voidcn.com/article/p-yczjfjvv-pd.html

 

四、資料集

https://xingangpan.github.io/projects/CULane.html

 

五、車道線擬合算法

隨機抽樣一致 RANSAC(轉)  https://www.cnblogs.com/cfantaisie/archive/2011/06/09/2076864.html

Python閒談(二)聊聊最小二乘法以及leastsq函式 https://www.cnblogs.com/NanShan2016/p/5493429.html

 

六、跟蹤演算法

詳解卡爾曼濾波原理https://blog.csdn.net/u010720661/article/details/63253509

卡爾曼濾波 -- 從推導到應用(一)https://blog.csdn.net/heyijia0327/article/details/17487467

理解Kalman濾波的使用 http://www.cnblogs.com/jcchen1987/p/4371439.html

 

七、Demo

Urbane Lane Detection in Guangzhou—科技—視訊高清線上觀看-優酷https://v.youku.com/v_show/id_XMjYyNjEzMTM2NA==.html

 

八、學習網址

https://cn.udacity.com/?utm_source=baidu-ppc&utm_medium=cpc&utm_campaign=brand&utm_term=PC-brand-%E5%85%A8%7Cbrand-%E6%A0%B8%E5%BF%83&utm_content=%E4%BC%98%E8%BE%BE%E5%AD%A6%E5%9F%8E

 

九、CSDN

opencv車道線檢測 https://blog.csdn.net/chongshangyunxiao321/article/details/50999212

車道線檢測霍夫直線檢測原理分析https://blog.csdn.net/happy_stars_2016/article/details/52691255

opencv 車道線檢測(二)https://blog.csdn.net/fate_fjh/article/details/52921894

 

十、提取骨架演算法

Hilditch's Algorithm for Skeletonization  http://cgm.cs.mcgill.ca/~godfried/teaching/projects97/azar/skeleton.html#algorithm

OpenCV學習(15) 細化演算法(3) https://www.cnblogs.com/mikewolf2002/p/3327183.html