Intelligent Vehicle Experimental Test-beds


Human-Centered Driver Assistance Systems

Vision Systems for Occupant Posture Analysis


Vision Systems for Driver Analysis and Interface

Related Research


Driver State Analysis Research

Determining the driver state is important  for detecting driver distraction or inattention.  Facial action codes, eye blinks, and head movements are all cues for driver state.  By analyzing these cues we can make a safe driver experience.  Additional research has been performed on using these cues to add context to remote communication.  An example of this would be transmitting the drivers expression over a cell phone to a remote user.

Robust expression estimation can be performed using thin-plate splines.  This allow the non-rigid movements from expressions to be separated from the rigid body head movements efficiently.  Here is an example of the thin-plate spline transformation (click on the image for a video).

Here are some of the results from the expression estimation system (click on the image for a video).