Map based annotation for autonomous movement models training

Abstract

A method, an apparatus and a computer program product for enhancing training of autonomous movement models based on map-based annotations. The method comprises augmenting an original training set with map based annotated modified scenarios at least one of which affects a path and at least one of which does not affect a path. The method comprises generating modified driving scenarios introducing a synthetic path altering object into the functional map representing the original movement or driving scenario, that induces a driving path that is different than the original path; and other modified driving scenarios that introduce a path non-altering object into the functional map of the original scenario, that the original path is applicable therein. An autonomous driving model for predicting driving path within a road segment based on a functional map representation is trained using the modified driving scenarios.