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From Hazard Analysis to Hazard Mitigation Planning: The Automated Driving Case

  • Mario Gleirscher
  • Stefan Kugele
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10227)

Abstract

Vehicle safety depends on (a) the range of identified hazards and (b) the operational situations for which mitigations of these hazards are acceptably decreasing risk. Moreover, with an increasing degree of autonomy, risk ownership is likely to increase for vendors towards regulatory certification. Hence, highly automated vehicles have to be equipped with verified controllers capable of reliably identifying and mitigating hazards in all possible operational situations. To this end, available methods for the design and verification of automated vehicle controllers have to be supported by models for hazard analysis and mitigation.

In this paper, we describe (1) a framework for the analysis and design of planners (i.e., high-level controllers) capable of run-time hazard identification and mitigation, (2) an incremental algorithm for constructing planning models from hazard analysis, and (3) an exemplary application to the design of a fail-operational controller based on a given control system architecture. Our approach equips the safety engineer with concepts and steps to (2a) elaborate scenarios of endangerment and (2b) design operational strategies for mitigating such scenarios.

Keywords

Risk analysis Hazard mitigation Safe state Controller design Autonomous vehicle Automotive system Modeling Planning 

Notes

Acknowledgments

We are grateful to Maximilian Junker for a thorough review of this work. Moreover, we thank our project partners from the German automotive industry for inspiring discussions and providing a highly innovative practical context for our research. Furthermore, we thank our peer reviewers for suggestions on the use of risk structures, signal processing, and regulatory certification.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Technische Universität MünchenMunichGermany

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