  This paper tackles the multi-objective optimization of the cost functional of
a path-following model predictive control for vehicle longitudinal and lateral
control. While the inherent optimal character of the model predictive control
and the direct consideration of constraints gives a very powerful tool for many
applications, is the determination of an appropriate cost functional a
non-trivial task. This results on the one hand from the number of degrees of
freedom or the multitude of adjustable parameters and on the other hand from
the coupling of these. To overcome this situation a Bayesian optimization
procedure is present, which gives the possibility to determine optimal cost
functional parameters for a given desire. Moreover, a Pareto-front for a whole
set of possible configurations can be computed.
