Latest revision as of 21:32, 3 February 2021

Abstract

Driver behavioral cues may present a rich source of information and feedback for future intelligent driver assistance systems (IDAS). Two of the most useful cues might be eye gaze and head motion. Eye gaze provides a more accurate proxy than head motion for determining driver attention, whereas the measurement of head motion head motion as a derivative of pose is less cumbersome and more reliable in harsh driving conditions. With the design of a simple and robust IDAS in mind, we are interested in determining the most important driver cues for distinguishing driver intent. We use a lane change intent prediction system [1] to determine the relative usefulness of each cue for determining intent. Various combinations of input data are presented to a discriminative classifier, which is trained to output a prediction of probable lane change maneuver at a particular point in the future. Quantitative results using real-world data are presented and show that head motion, when combined with lane position and vehicle dynamics, is a reliable cue for lane change intent prediction. The addition of eye gaze does not improve performance as much as simpler head pose-based cues.

Original document

The different versions of the original document can be found in:

• http://cvrr.ucsd.edu/publications/2008/doshi_IV08.pdf

• http://dx.doi.org/10.1109/ivs.2008.4621321

• http://cvrr.ucsd.edu/publications/2008/doshi_IV08.pdf,

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4621321,

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004621321,

http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4621321,

https://academic.microsoft.com/#/detail/2134492527

• http://xplorestaging.ieee.org/ielx5/4607789/4621124/04621321.pdf?arnumber=4621321,

http://dx.doi.org/10.1109/ivs.2008.4621321