On the roles of eye gaze and head dynamics in predicting driver's intent to change lanes

  • Authors:

  • Anup Doshi;Mohan Manubhai Trivedi

  • Affiliations:

  • Laboratory for Safe and Intelligent Automobiles, University of California, San Diego, La Jolla, CA;Laboratory for Safe and Intelligent Automobiles, University of California, San Diego, La Jolla, CA

  • Venue:
  • IEEE Transactions on Intelligent Transportation Systems
  • Year:
  • 2009

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Abstract

Driver behavioral cues may present a rich source of information and feedback for future intelligent advanced driver-assistance systems (ADASs). With the design of a simple and robust ADAS in mind, we are interested in determining the most important driver cues for distinguishing driver intent. Eye gaze may provide a more accurate proxy than head movement for determining driver attention, whereas the measurement of head motion is less cumbersome and more reliable in harsh driving conditions. We use a lane-change intent-prediction system (McCall et al., 2007) 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 from a naturalistic driving study 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 dynamics cues. The advantage of head data over eye data is shown to be statistically significant (p