Abstract
Advanced Driver Assistance Systems (ADAS) such as Lane Keeping Assistance (LKA) systems are in the focus of current vehicle developments. Of special interest is the calibration task, which plays an increasingly decisive role in early development stages. At this point it is essential to analyze the precalibrated controller concepts by appropriate simulation methods. A software toolchain is introduced, using Model-in-the-Loop (MiL) for the evaluation and calibration of the LKA system. Within, a Design-of-Experiment (DoE) tool is integrated together with the simulation environment. This enables the examination of the two different lateral controller concepts “Steer-by-Angle” (SbA) and “Steer-by-Torque” (SbT). Their lateral guidance performance is characterized by “Objective Parameters” (OP), which are derived from simulation quantities of straight line- and cornering maneuvers. Further, statistical behavior models are generated based on those OP and controller design variables. The subsequent optimization process leads to high performances of both controllers. In particular, the SbA controller shows higher efficiency under the impact of disturbances as well as the reference reaction with lower settling times. Overall, the established software toolchain for LKA system evaluation and calibration allows detailed assessments of both control algorithms and provides a platform for the calibration tasks in the development of LKA systems.