Andreas Riener, Alois Ferscha, Michael Matscheko,
"Intelligent Vehicle Handling: Steering and Body Postures while Cornering"
: 21st International Conference on Architecture of Computing Systems (ARCS 2008), System Architecture and Adaptivity, Pervasive Computing, Serie Lecture Notes in Computer Science (LNCS), Nummer 4934, Springer-Verlag Berlin Heidelberg New York, Seite(n) 68-81, 2-2008, ISBN: 978-3-540-78152-3, ISSN: 0302-9743
Original Titel:
Intelligent Vehicle Handling: Steering and Body Postures while Cornering
Sprache des Titels:
Englisch
Original Buchtitel:
21st International Conference on Architecture of Computing Systems (ARCS 2008), System Architecture and Adaptivity
Original Kapitel:
Pervasive Computing
Original Kurzfassung:
Vehicle handling and control is an essential aspect of intelligent
driver assistance systems, a building block of the upcoming generation
of ”smart cars”. A car’s handling is affected by (i) technological
(engine, suspension, brakes, tires, wheels, steering, etc.), (ii) environmental
(road condition, weather, traffic, etc.), and (iii) human (attentiveness,
reactiveness, driver agility, etc.) factors, and their mutual interrelationship.
In this paper we investigate on how a driver’s endeavor for precise
steering interferes with lateral acceleration while cornering. Depending
on the steering ratio and the cruising speed, we identify that the readiness
of a driver to compensate lateral forces exhibits counterintuitive characteristics.
A driver body posture recognition technique based on a high
resolution pressure sensor integrated invisibly and unobtrusively into the
fabric of the driver seat has been developed. Sensor data, collected by two
32x32 pressure sensor arrays (seat- and backrest), is classified according
to features defined based on cornering driving situations. Experimental
results verify an increased readiness to compensate lateral acceleration
with increasing driving speed, but only beyond a certain driver specific
”break even” point. Above intelligent driver assistance, e.g. to improve
steering precision, to reduce or avoid over-steer or under-steer, or to
proactively notify electronic stability control (ESC), our results also encourage
for new modalities in driver-to-car and car-to-roadside interaction.