Advanced driver assistance systems (ADAS) support the driver in his driving task. Such systems include the warning of the driver in critical situations as well as the support of the driver in the longitudinal and lateral control of the vehicle. Established assistance systems like anti-lock braking or electronic stability management depend only on the driving dynamics of the vehicle itself In contrast to that, an ADAS in addition has to detect the driving behavior of other vehicles by sensing the environment, e.g. via radar, lidar, and video technology. Typical ADAS examples are emergency braking systems, adaptive cruise control or lane keeping systems. The additional complexity of ADAS makes the validation process a far more difficult and hazardous task. Test drives with experimental cars can be considered state-of-the-art ADAS validation technique. The aim of the VALSE project is to set-up a validation platform enabling ADAS testing in a safe and cost-efficient laboratory environment. The presented validation platform VALSE uses a standard hardware-in-the-loop system which is extended by a proprietary software for microscopic real time simulation of a truck platoon.