CORDIS Project
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This project focuses on developing a Bayesian learning methodology to enhance decision-making in intelligent vehicles by accurately representing uncertainty. It aims to improve safety through collision avoidance and robust fault diagnosis, validated on a physical test-bed at the University of Cyprus.
The study of intelligent vehicles (IVs) is an area developing very fast and has the potential to transform road transportation and personal mobility in the years to come.
In order to evaluate and minimize risks in the dynamic environment of IVs, it is necessary to have an accurate representation of the system and the uncertainty; the system describing IVs will never be a perfect representation of the true physical process and relying on its accuracy may lead to unreliable estimations and predict…
UNIVERSITY OF CYPRUS
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