Driving is a challenging task. In our everyday life as drivers, unexpected situations rise and need to be handled in a safe and efficient way. The same is valid for Connected and Automated Vehicles (CAVs), which also need to respond in these situations, to a certain extent, depending on their automation level. The higher the automation level is, the higher the expectations for the system to cope with these situations are. In the context of EVENTS project, these unexpected situations, where the normal operation of the CAV is close to be disrupted (e.g. ODD limit is reached due to traffic changes, harsh weather/light conditions, imperfect data, sensor/communication failures, etc.), are called “events”. These “events” are creating challenges for CAVs that should be overcome in order to enable safe and reliable automated driving in such cases.
The EVENTS project aims to create a robust and resilient perception and decision-making system, able to tackle the abovementioned challenges. In EVENTS, in case the system or some of the subsystems cannot perform with the expected quality and reliability, an improved minimum risk manoeuvre is triggered.