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Dynamic Vehicle Follow-up with Data Fusion Architecture

Enhance vehicle safety with a data fusion architecture for real-time danger level computation, uncertainty management, and global risk estimation using the TBM of Smets. Developed by experts from IUT Amiens, France.

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Dynamic Vehicle Follow-up with Data Fusion Architecture

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  1. A data fusion architecture for the dynamic follow-up of vehicles Arnaud CLERENTIN, Eric BRASSART, Laurent DELAHOCHE, Bruno MARHIC, Sonia IZRILTI, IUT Amiens, France • Computation of a danger level about the vehicle surrounding • Management and propagation of uncertainties from low level data to a global danger estimate • Key tool : the TBM of Smets, a variant of the Dempster Shafer theory

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