Test and Validation of Advanced Driver Assistance Systems Automated
Search for Critical Scenarios
The amount of software used to implement vehicle functions continuous to grow rapidly and will double once more within the next decade. Established test and validation processes can hardly keep pace with this growth rate. In this context, autonomous testing, a technique that evolved substantially in the recent years, gains importance as an enhancement to the traditional testing process. Testing on a real test drive or with handwritten test scripts on a HiL or test bench is complemented by a fully automated search for design flaws and faults using thousands of scenarios simulated on PC. QTronic describes such a test process in detail and surveys first applications in the domain of advanced driver assistance systems (ADAS) and autonomous driving.
VIRTUAL TEST DRIVES The systematic test of functions for driver assistance systems and autonomous driving requires the identification and analysis of a huge number of traffic scenarios. The space of possible scenarios is spanned by many dimensions: the road geometry, the behaviour of the driver and of other traffic participants, weather conditions, vehicle characteristics and vehicle variants, spontaneous component faults, the timing of the events and others. This multidimensional space can hardly be covered comprehensively using real test drives. It is therefore widely believed that real test drives must be extensively complemented by virtual test drives, for example using established tools for vehicle and traffic simulation such as CarMaker (IPG), PreScan (Tass International) or VTD (Vires). Simulation seems to be the only option to synthesise and analyse the enormous amount of required traffic scenarios with reasonable effort,
read more : http://www.qtronic.de/doc/ATZe_01_2016_en.pdf