BEHAVIOR BASED DEPENDABILITY ESTIMATION - Estimating the Dependability of Autonomous Mobile Systems using Predictive Filter

Jan Rüdiger, Achim Wagner, Essam Badreddin

2008

Abstract

Dependability is getting a more important non-functional property of a system. Measuring and predicting the dependability is especially important for autonomous or semi-autonomous and safety-critical systems. Since, at least for (semi-) autonomous systems, those systems are usually described by their behavior, a definition for dependability based on the behavior of the system is evident. In this paper the behavioral based definition of dependability was used together with a particle filter to estimate the dependability of an autonomous mobile system.

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Paper Citation


in Harvard Style

Rüdiger J., Wagner A. and Badreddin E. (2008). BEHAVIOR BASED DEPENDABILITY ESTIMATION - Estimating the Dependability of Autonomous Mobile Systems using Predictive Filter . In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 978-989-8111-31-9, pages 137-142. DOI: 10.5220/0001495801370142

in Bibtex Style

@conference{icinco08,
author={Jan Rüdiger and Achim Wagner and Essam Badreddin},
title={BEHAVIOR BASED DEPENDABILITY ESTIMATION - Estimating the Dependability of Autonomous Mobile Systems using Predictive Filter},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2008},
pages={137-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001495801370142},
isbn={978-989-8111-31-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - BEHAVIOR BASED DEPENDABILITY ESTIMATION - Estimating the Dependability of Autonomous Mobile Systems using Predictive Filter
SN - 978-989-8111-31-9
AU - Rüdiger J.
AU - Wagner A.
AU - Badreddin E.
PY - 2008
SP - 137
EP - 142
DO - 10.5220/0001495801370142