The progress in autonomous car driving or also called Advanced Driving Assistance Systems (ADAS) has recently received an increasing attention in car industries. Thus, many autonomous car models are recently developed and some are even commercialized. However, they are still not ready to enter our daily life since they lack efficiency and reliability. In this sense, to obtain efficient and reliable systems, the evaluation process plays an important role. Nowadays, the evaluation is strongly related to the number of kilometers of drive. However, in order to make a comprehensive evaluation of such systems, in addition to the number of kilometers, each component should also be tested. In this study, we focused on developing a system that is able to evaluate each component of ADAS. We defined a versatile architecture that simplifies the evaluation of different types of ADAS. Several evaluation scenarios are shown and discussed.
['Assia Belbachir']
An embedded testbed architecture to evaluate autonomous car driving