This work aims to analyze and identify the main areas of optimization of Autonomous Emergency Braking (AEB) systems of new generation commercial vehicles, through the use of Virtual Reality (VR) techniques, in order to determine and predict the main behavioural patterns of Vulnerable Road Users (VRU) in the phase immediately prior to a potential road collision during the crossing.

Nowadays, there are numerous examples of driving aids, particularly those that anticipate the driver’s response in the event of a risk of collision or, if a collision takes place, reduce the severity of the damage as far as possible. The AEB systems are equipped with a Lidar and a camera, whose joint operation allows for detecting the proximity of pedestrians when they encroach the road and to obtain variables of interest to evaluate the autonomous intervention of the braking system.