Securing the approval of automated driving functions for market introduction is a complex task due to the sheer number of different scenarios that require validation under a range of environmental parameters. Advanced Driver Assistant Systems (ADAS) and Automated Driving (AD) require the validation and verification of functions such as automated emergency braking, adaptive cruise control and fully automated driving features such as the highway chauffeur under real conditions.
OEMs have the further task of developing, optimizing, and testing these functions over a wide range of environmental scenarios and vehicle configurations. It has proved that virtual testing methods are more efficient and safer for a lot of use cases than testing on proving ground or on real road.
Efficient Validation Through Virtual Testing
Beyond pure simulation, cyber-physical test methods play an important role. The AVL DRIVINGCUBE combines both, simulation and ready-to-drive vehicles on a chassis dynamometer or on a powertrain testbed. The experience gained in a large number of research and contracted projects was carefully incorporated into the design of the DRIVINGCUBE. It aims to speed up the validation and approval process of ADAS and AD systems by using fully automated, scenario-based testing increasing test coverage and reducing testing effort. Its holistic sensor stimulation and full range steering ability brings the proving ground to the testbed.