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Advances in Real-Time Systems pp 341–355Cite as

Real-Time Knowledge for Cooperative Cognitive Automobiles

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Abstract

We are currently witnessing a rapid growth in the number of sensors in our automobiles. Accompanied by a trend towards higher data rate, storage capabilities, and processing power per sensor it seems safe to state that the role of information acquisition and processing is of increasing importance to the automotive domain. While radar, lidar, and video sensors were only introduced to selected upper class automobiles around the turn of the millennium, such sensors are readily available for medium sized vehicles by now and are expected to become standard in any vehicle in the not so far future. Combined with vehicular communication systems it is expected that this trend will not only show quantitative effects on driving comfort, but in the long term will provide a totally new quality of traffic operation including concerted navigation for safe, comfortable, and efficient driving.

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Notes

  1. 1.

    The European Automotive industry introduced radar sensors in the Mercedes-Benz S-Class and in Jaguar’s XKR for Adaptive Cruise Control in 1999, followed by BMW’s 7-series in early 2000.

  2. 2.

    For the sake of simplicity, we restrict our consideration to a position estimate. Extension to other information like orientation or velocity is straightforward.

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Acknowledgements

The authors gratefully acknowledge the fruitful collaboration of the partners from Karlsruhe Institute of Technology, Technische Universität München and Universität der Bundeswehr München within the Transregional Collaborative Research Centre 28 Cognitive Automobiles. Special thanks are directed to Georg Färber, one of the initiators, founders and member of the executive board of the Centre. The authors gratefully acknowledge support of the TCRC by the Deutsche Forschungsgemeinschaft (German Research Foundation).

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Authors and Affiliations

  1. Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, 76131, Karlsruhe, Germany

    Christoph Stiller & Oliver Pink

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  1. Christoph Stiller
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  2. Oliver Pink
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Correspondence to Christoph Stiller .

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Editors and Affiliations

  1. LS für Realzeit-Computersysteme, TU München, Arcisstraße 21, München, 80290, Germany

    Samarjit Chakraborty

  2. LS Kommunikationsnetze, TU München, Arcisstr. 21, München, 80290, Germany

    Jörg Eberspächer

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Stiller, C., Pink, O. (2012). Real-Time Knowledge for Cooperative Cognitive Automobiles. In: Chakraborty, S., Eberspächer, J. (eds) Advances in Real-Time Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24349-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-24349-3_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24348-6

  • Online ISBN: 978-3-642-24349-3

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