Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic

Werner Damm1, Martin Fraenzle1, Andreas Luedtke2, Jochem Rieger1, Alexander Trende2, Anirudh Unni3

  • 1University of Oldenburg
  • 2OFFIS-Institute for Information Technology
  • 3Carl von Ossietzky Universität Oldenburg

Details

09:00 - 14:30 | Sun 9 Jun | Room L213 | SuDT4.4

Session: HFIV: Human Factors in Intelligent Vehicles

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Abstract

In future mixed traffic Highly Automated Vehicles (HAV) will have toresolve interactions with human operated traffic. A particular problem for HAVs is detection of human states influencing safety critical decisions and driving behavior of humans. Wedemonstrate the value proposition of neuro-physiological sensors and driver models for optimizing performance of HAVs under safety constraints in mixed traffic applications.