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Open AccessConcept Paper

An MBSE Approach for Development of Resilient Automated Automotive Systems

1
Electrical & Controls Systems Research Lab, General Motors, Warren, MI 48092, USA
2
Systems Architecting and Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
*
Author to whom correspondence should be addressed.
Received: 26 November 2018 / Revised: 28 December 2018 / Accepted: 7 January 2019 / Published: 10 January 2019
(This article belongs to the Special Issue Model-Based Systems Engineering)
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Abstract

Advanced driver assistance and automated driving systems must operate in complex environments and make safety-critical decisions. Resilient behavior of these systems in their targeted operation design domain is essential. In this paper, we describe developments in our Model-Based Systems Engineering (MBSE) approach to develop resilient safety-critical automated systems. An MBSE approach provides the ability to provide guarantees about system behavior and potentially reduces dependence on in-vehicle testing through the use of rigorous models and extensive simulation. We are applying MBSE methods to two key aspects of developing resilient systems: (1) ensuring resilient behavior through the use of Resilience Contracts for system decision making; and (2) applying simulation-based testing methods to verify the system handles all known scenarios and to validate the system against potential unknown scenarios. Resilience Contracts make use of contract-based design methods and Partially Observable Markov Decision Processes (POMDP), which allow the system to model potential uncertainty in the sensed environment and thus make more resilient decisions. The simulation-based testing methodology provides a structured approach to evaluate the operation of the target system in a wide variety of operating conditions and thus confirm that the expected resilient behavior has indeed been achieved. This paper provides details on the development of a utility function to support Resilience Contracts and outlines the specific test methods used to evaluate known and unknown operating scenarios. View Full-Text
Keywords: MBSE; advanced driver assistance systems; automated driving systems; safety of the intended functionality; utility function; test scenario MBSE; advanced driver assistance systems; automated driving systems; safety of the intended functionality; utility function; test scenario
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

D’Ambrosio, J.; Adiththan, A.; Ordoukhanian, E.; Peranandam, P.; Ramesh, S.; Madni, A.M.; Sundaram, P. An MBSE Approach for Development of Resilient Automated Automotive Systems. Systems 2019, 7, 1.

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