[Karlozkiller]

I had to look up what 'end-to-end' means in regard to neural nets and machine learning. And the answer seems to differ slightly or very much with every webpage I hit.

Stack exchange says it means 'all classifiers are trained jointly', nvidia and quora seem more in line with what I assume it means in this project. 'No human input to training sets or results as part of learning' is that what this talks about?

Is it then, unsupervised learning?

Really cool project!

[skgoa]

In the context of automated driving, 'end-to-end' tends to mean that the net learns a transformation function that maps input images to steering wheel and pedal positions. In that sense, there is 'no human input' at any stage.

In contrast to this, every significant AD effort uses hand crafted parts for most of their pipeline. Machine learning is mostly used in the initial object detection and tracking steps.

[rockinghigh]

In this case, the training is supervised. It’s a simple convolutional neural network that predicts the turning angle based on the image of the line on the “road”.