SAFE AND SCALABLE MODEL FOR CULTURALLY SENSITIVE DRIVING BY AUTOMATED VEHICLES USING A PROBABILISTIC ARCHITECTURE

Abstract: the invention relates to a method and system which determine certainty, e.g. an aleatoric certainty score, as well as an uncertainty score, e.g. an epistemic uncertainty, based on input data. the input data includes static and dynamic data. a trained behavioral model generates trajectory predictions and the certainty and uncertainty score. a vehicle-based function is controlled based in the certainty score and the uncertainty score, e.g. increase following distance or hand over to a human driver.

Inventor(s): John Weast, Ignacio J. Alvarez, Maria Soledad Elli, Tal Serphos

CPC Classification: B60W60/00276 ({using trajectory prediction for other traffic participants})

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