A multi-modal architecture for intelligent decision making in cars

  • Authors:
  • Qamir Hussain;Ing-Marie Jonsson

  • Affiliations:
  • QHC Consulting Ltd. Dublin, Ireland;Ansima Inc., Los Gatos, CA,

  • Venue:
  • UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
  • Year:
  • 2007

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Abstract

This paper describes a software architecture named "Gatos" engineered for intelligent decision making. The architecture is built on a distributed multi-agent system cougaar. Gatos provides a solution for sensor fusion. We propose using multiple sensors to monitor driver status, driving performance, and the driving environment in order to address bad driving behavior. Our approach for a Driving Monitor is based on both monitoring and regulating driver behavior. The system is designed to intervene and to interact with the driver in real time (if possible) to regulate their behavior and promote safe driving. A prototype is implemented using a driving simulator, but infrastructure buildup and new in-vehicle technologies make this a feasible solution for vehicles on the road.