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High Reliability Imperative for Autonomous Networked Vehicles

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Disciplinary Convergence in Systems Engineering Research

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Abstract

Autonomous vehicles need high reliability for consumer acceptance. A high-reliability system is capable of relatively error-free operations over extended durations making consistently good decisions that result in highly reliable and safe operations. High reliability is an imperative for autonomous networked vehicles. This paper reviews currently available approaches for developing high-reliability systems. We pose the question whether reliability requirements for self-driving vehicles should be similar to those for other high-reliability systems or should we draw on and extrapolate the body of knowledge for human-operated systems. We provide an analysis that helps with answering this question.

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Author information

Authors and Affiliations

  1. The Boeing Company, Chicago, IL, USA

    Allen Adler

  2. University of Southern California, Los Angeles, CA, USA

    Azad M. Madni

Authors
  1. Allen Adler
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  2. Azad M. Madni
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Corresponding author

Correspondence to Allen Adler .

Editor information

Editors and Affiliations

  1. Systems Architecting and Engineering Program, University of Southern California, Los Angeles, California, USA

    Azad M. Madni

  2. Center for Systems and Software Engineering, University of Southern California, Los Angeles, California, USA

    Barry Boehm

  3. Aerospace & Mechanical Engineering, University of Southern California, Los Angeles, California, USA

    Roger G. Ghanem

  4. University of Southern California, Los Angeles, California, USA

    Daniel Erwin

  5. Systems Engineering Fellow, The Aerospace Corporation, El Segundo, California, USA

    Marilee J. Wheaton

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Adler, A., Madni, A.M. (2018). High Reliability Imperative for Autonomous Networked Vehicles. In: Madni, A., Boehm, B., Ghanem, R., Erwin, D., Wheaton, M. (eds) Disciplinary Convergence in Systems Engineering Research. Springer, Cham. https://doi.org/10.1007/978-3-319-62217-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-62217-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62216-3

  • Online ISBN: 978-3-319-62217-0

  • eBook Packages: EngineeringEngineering (R0)

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