Validation of Automated Driving Systems using Automation in Multi-sensor simulation

Latest automated driving vehicle functionalities present major challenges, where a large number of scenarios needs to be validated for assuring passenger safety and comfort. There is a significant and ongoing effort in legislative, regulatory and industrial standards to cover such necessities, such as UNECE R157 regulation for Automated Lane Keeping Systems (ALKS). At the same time, simulating and testing of such behavior becomes increasingly complex, as vehicles need to cover a large number of driving scenarios. In this paper we present how such testing and processes can be modeled and automated utilizing a tool that assists on quick validation of ALKS functions along with exploration and verification of the space in which the ALKS function is specifically designed to operate within, i.e. its Operational Design Domain (ODD).