Performance Assessment in a “Lane Departure” Scenario of Impending Collision for an ADAS Logic Based on Injury Risk Minimisation

The current prioritisation of road safety enhancement in the automotive sector is leading toward near future implementation Advanced Driver Assistance Systems (ADASs), aiming at simultaneous intervention braking and steering for impact avoidance case an impending collision. However, it partially unclear how new technologies controlling will actually behave inevitable collision states; need consequently emerges to propose tune efficient ADAS strategies handle complexity critical scenarios. An adaptive logic on highly automated vehicles applied context a “lane departure”, two-vehicle scenario; implementing activates minimise injury risk ego vehicle’s occupants each time step, adapting eventual scenario evolution consequent actions by other users. performance investigated software-in-the-loop approach, varying mutual position involved beginning criticality comparing outcomes impacts with those connected Autonomous Emergency Braking (AEB). results highlight twofold benefit from application terms safety: (1) decreases frequency compared AEB function; (2) states, vehicles’ down 40% AEB. This latter condition achieved thanks possibility reaching eccentric conditions (low forces occupants’ as consequence). obtained highlights expand literature regarding considering diverse investigating fine variations reflect different types logic.