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Lane detection is an essential part for an autonomous car to function. With a lane departure warning system many modern cars are already equipped with a lane detection system. But models and methods to predict lanes are numerous and often follow different approaches to solve the lane detection problem. This paper wants to give an overview on some of the state of the art models and methods for lane detection that lately achieved good results on public datasets. The paper will also look at training and testing a SCNN [10] using the free Colaboratory service from Google [29].