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Real-time data fusion technique for validation of an autonomous system

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4 Author(s)
Cukic, Bojan ; Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA ; Mladenovski, M. ; Desovski, D. ; Yerramalla, S.

We describe a data fusion technique suitable for use in validation of a real-time autonomous system. The technique is based on the Dempster-Shafer theory and Murphy's rule for beliefs combination. The methodology is applied for fusing the learning stability estimates, provided by an online neural network monitoring methodology, into a single probabilistic learning stability measure. The case study shows that our data fusion technique is capable of handing real-time requirements and provides unique, meaningful results for interpreting the stability information provided by the online monitoring system.

Published in:

Object-Oriented Real-Time Dependable Systems, 2005. WORDS 2005. 10th IEEE International Workshop on

Date of Conference:

2-4 Feb. 2005