Driving style classification can be useful for various intelligent vehicle applications and can
improve driving comfort in new driveability functions. Within this contribution, we present a …

We introduce a novel method to generate customer vehicle usage profiles, representing
driving, parking, and charging behavior. Synthesizing usage profiles is the key to support …

Towards customer-centric automotive systems engineering, it is essential to incorporate
physical models and vehicle usage behavior into decision support systems (DSSs). Such …

Um die Auswirkungen des menschengemachten Klimawandels einzudämmen besteht im
Kontext der Individualmobilität das Bestreben, möglichst klimafreundliche Pkw …

Driving style classification does not only depend on objective measures such as vehicle
speed or acceleration, but is also highly subjective as drivers come with their own definition …

In the last decade unsupervised pattern discovery in time series, ie the problem of finding
recurrent similar subsequences in long multivariate time series without the need of querying …

In dem letzten Jahrzehnt hat die unüberwachte Mustererkennung in Zeitreihen–die
Identifikation von ähnlichen, wiederkehrenden, im Vorfeld nicht bekannten Teilsequenzen in …

Specifying or deriving customers' needs into detailed requirements becomes essential for
holistic customer-centricity in automotive systems engineering, relying heavily on simulation …

Small integrated computers, so-called embedded systems, have become a ubiquitous and
indispensable part of our lives. Every day, we interact with a multitude of embedded …