Assisted / autonomous vs. human driving assessment on the DiM driving simulator using objective / subjective characterization.

The present work represents a qualitative investigation of a methodology, based on Driving Simulator session, which could give interesting indications to the vehicle development teams for autonomous and assisted driving about the efficiency/comfortability of the driving intelligence in realistic highway driving scenarios. To prove the methodology, we have preliminarily performed a test with 13 participants. The number is still not statistically significative, and the results of the present work are to be intended for a) investigation and tuning of the methodology and b) for the researchers to understand if, applying signal processing developed in previous works and given a bigger number of participants, the approach could scientifically provide innovative and quantitative indexes for classifying autonomous driving algorithms.