Simulation-Driven Validation of Advanced Driving-Assistance Systems

Abstract

Advanced driving-assistance systems (ADAS) have recently received an increasing attention from the car industry. ADAS development represents a considerable effort to obtain efficient and reliable systems. Driving several million kilometers is necessary to validate a system. Thus, there are strong needs to ease the development and validation processes. In this context, computer simulation techniques are a candidate solution to this problem since running digital scenarios saves time, money and human resources. Up until now, several simulators have been developed. In the first part of this paper we present one of these simulators i.e. Pro-SiVICTM, as a tool that is able to simulate and validate different sensors, control and path planning algorithms for ADAS. Pro-SiVICTM connected with other tools is able to simulate/emulate vehicle components and road environment elements (e.g. perception sensors, wheel-road contacts, chassis characteristics, road side objects including their sensor responses, etc.). However, mainly in ADAS, sound assessment is a difficult task; therefore our paper approaches the related methodology in focusing the effort on defining the assessment criterion. Based on some ADAS developments, assessment examples are given.