Technological advancements in the face of computational power, sensor technologies, more robust algorithm techniques and fields like machine learning and deep learning are the major enabling force of fully automated driving.

The second part of the article that discuss the challenges and the recent efforts for increasing the reliability of machine-learning-based autonomous cars.

Current machine learning challenges for autonomous cars and the important and recent efforts of researchers in overcoming these challenges