Imitation Learning for Vision-based Lane Keeping Assistance

Christopher Innocenti, Henrik Lindén, Ghazaleh Panahandeh +2

This paper aims to investigate direct imitation learning from human drivers for the task of lane keeping assistance in highway and country roads using grayscale images from a singl…