Open vehicular data interfaces for in-car context inference

  • Authors:
  • Matthias Kranz;Eduard Weber;Korbinian Frank;Daniel Hermosilla Galceran

  • Affiliations:
  • Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany;Institute of Communications and Navigation, Wessling, Germany;Institute of Communications and Navigation, Wessling, Germany

  • Venue:
  • Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
  • Year:
  • 2009

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Abstract

In this paper, we present a concept for an open vehicular data interface and describe it's components and architecture. We discuss the enabled applications in the context of advanced driver assistance systems with a focus on human-machine interfaces, vehicle-to-x (V2X) communication and context inference systems. We conclude by a presentation of the initial implementation and deployed system.