Low-Speed Vehicle Motion Control Algorithms for Automated Driving Functions

ZF Friedrichshafen AG has a rich product portfolio with various Advanced Driver Assistance Systems (ADAS). While pursuing the “Full System Supplier” business strategy, ZF uses its many years of experience in model-based engineering and continuously extends the ADAS capabilities to new use cases and a higher degree of autonomy.

In this presentation, a short overview is given of our approach to solving the maneuver planning and vehicle motion control problem for low-speed scenarios. We will show how development frameworks—especially MATLAB^® and Simulink^®, the corresponding toolboxes, and technical guidance from MathWorks—enabled our engineers to accomplish the complex task of designing highly accurate and robust trajectory planning and vehicle motion control for ZF’s automated driving products.