This report focuses on the testing and certification of autonomous vehicles and the technologies and components used in their implementation. Autonomous vehicles are very complex cyber physical systems composed by many inter-connected components like sensors, actuators and artificial intelligence processors. They are supposed to operate with high accuracy and safety with limited presence of human drivers or completely in their absence (i.e., driverless cars). In addition, they are supposed to be robust against unintentional or intentional malfunctions, which can be caused by cybersecurity threats as vehicles will be increasingly connected, which can be exploited by cybersecurity attackers.
The report reviews the existing activities at global and european level for testing and certification of autonomous vehicles with a particular focus on the current revision of the UNECE regulatory framework.
Then, the report focuses on three separate elements of testing of automated vehicles: a) definition of processes for cybersecurity testing and mitigation of cybersecurity threats, b) testing and evaluation of artificial intelligence components of the automated vehicles and c) definition of database scenarios and languages for testing of automated vehicles. These areas have been selected because they address gaps in the policy support analysis needed by DG GROW C.4.
On each of these areas, the report identifies key recommendations at regulatory and standardization level.JRC.E.3-Cyber and Digital Citizens' Securit
