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Driving maneuver prediction based on driver behavior observation

: Diederichs, Frederik; Pöhler, Gloria

Ahram, T. (Ed.); Karwowski, W. (Ed.); Marek, T. (Ed.):
Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics, AHFE 2014. CD-ROM : Kraków, Poland, 19-23 July 2014
Kraków, 2014
ISBN: 978-1-4951-1572-1
International Conference on Applied Human Factors and Ergonomics (AHFE) <5, 2014, Kraków>
Fraunhofer IAO ()

With respect to an increasing amount of driver assistance systems and automated driving functions, a higher chance of unappreciated action and intervention of these systems can be registered, which in turn lowers the acceptance by drivers
and passengers. A reduction of unnecessary warnings and interventions can be achieved by making them adaptive to driver’s intentions and maneuvers planning. In order to learn which driver behavior indicates certain maneuver intentions, a
rater-based method using video recordings is proposed in this paper. Three driving maneuvers, namely turning, changing lane and braking for a pedestrian who intends to cross the road, were chosen for analyzing their predictability due to
behavior observation. As a first step, a driving simulator study was conducted in order to collect behavior data of 24 drivers. Subsequently, clearly distinguishable behavior classes for each maneuver were extracted from video data, resulting in
five superior behavior categories with 29 behavioral classes. Based onthese classes four human observers were trained to detect at the earliest convenience maneuver intentions. Overall in 97 % of all cases the observers could predict the
maneuvers. Inter-rater reliabilities showed to be between κ= 0.30 and κ =1.00.