Page - 89 - in Integration of Advanced Driver Assistance Systems on Full-Vehicle Level - Parametrization of an Adaptive Cruise Control System Based on Test Drives

7 Summary and Conclusion This chapter provides a summary of the present thesis and a final statement. Chapter 1: Introduction. In the first chapter, the term Advanced Driver Assistance System (ADAS)wasdefined. Additionally, differentoptions for categorizingADASwere listed. Not so long ago, ADAS were only available in upper vehicle segments. However, in 2010, the European Union set the goal to halve the road fatalities by the year 2020. Theystatedthatthiswouldonlybepossible ifADASbecamestandardvehicleequipment. Thus, ADAS have become available even in the lower vehicle segments, and cost and time-efficient development and validation methods are needed. Chapter 2: Adaptive Cruise Control. The presented research focused on Adaptive Cruise Control (ACC) systems. This chapter described the main parts of such a system. ACC systems consist of sensors, actuators, controllers and the Human-Machine Inter- face (HMI). The performance of an ACC system depends strongly on the performance of the environmental-recognition sensors and the controllers. Radio Detection and Rang- ing (RADAR) sensors are frequently used as environmental-recognition sensors. There are different RADAR sensor concepts available on the market, which were described in detail. Additionally, other environmental-recognition sensors were described, such as Light Detection and Ranging (LIDAR), video cameras, Vehicle-to-Vehicle Communi- cation (V2V) and Vehicle-to-Infrastructure Communication (V2I). The advantages of RADAR sensors are the detection range, the resistance to environmental influences, and the accurate measurement of the relative velocity of an object. Nevertheless, another sensor type might replace RADAR sensors if its performance becomes better. There are already vehicles that use camera systems instead of RADAR sensors due to lower costs. Furthermore, different upper level controllers out of the literature were compared in sim- ulation, including the Continuous Time Gap (CTG) control, Model Predictive Control