Page 48 - ATZ11 November 2019 Professional

DEVELOPMENT CHASSIS

The measurement data in the study
with test subjects was recorded via elec-
trodes on the subjects, wearables, and
interior sensors. Sensor systems that
enable contact-free recording of relevant
psychophysiological markers are set to
be developed for potential volume pro-
duction application.
The background: Everyone reacts dif-
ferently to vehicle movements, and pos-
sesses an individual sense of ride com-
fort. At ZF, this fact is depicted in an algo-
rithm based on AI methods that acquires
knowledge of the physical reactions of
each passenger to the current driving
dynamics, enabling a personalized profile
to be created. As a consequence of this,
individual data are obtained for every
passenger in a vehicle, meaning that
FIGURE 4 In order to research the physiological markers of travel sickness, ZF carried out detailed studies automated vehicles would actually be
involving test subjects led by neuroscientists (© ZF) able to implement the preferred driving
style of each passenger. Route planning
or maneuver and trajectory planning and
the vehicle’s stabilizing functions support
the algorithm interfaces that are relevant
to ride comfort.

CONCLUSION AND PROSPECTS
With its innovation vehicle, ZF has
taken yet another important step toward
functionally networking the chassis.
A new, specially developed regulation
algorithm allows safety, comfort, and
dynamic functions that were previously
independent to be intelligently and opti-
mally tailored to each other. The avail-
able interfaces also allow the sensors
to be extended to suit comprehensive
automated and autonomous driving
functions.
FIGURE 5 The results of the subject studies are visually displayed and evaluated electronically (© ZF)

ence such symptoms when the vehicle relation with the subjective perception
maneuvers independently over longer of travel sickness by individuals in real
stretches of road. traffic conditions. They furthermore
If the chassis is expected to counter- examined how this correlates to the
act this, the related function parameters driving dynamics of a vehicle, FIGURE 4
for the driving dynamics must be rooted and FIGURE 5
in a scientific basis. To this end, ZF is The joint research incorporates the
currently collaborating with the Sys- fields of neuro-technology, psycho-physi-
tems Neuroscience and Neurotechnol- ology, artificial intelligence, and driving
ogy Unit (SNNU) at the Saarland Uni- dynamics. Over more than 10,000 km,
versity and the University of Applied the research team gathered more than
Sciences at Saarbrücken (htw saar). In 50,000 GB of physiological markers in
several studies involving test subjects, the central and autonomous nervous sys-
the researchers analyzed the physiologi- tem in the form of thermographic, imag-
cal markers that show the highest cor- ery, and driving dynamics data.
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