PREDICTING AI MODELS FOR AUTONOMOUS DRIVING PER ROAD SEGMENT

A method of predictability of artificial intelligence models for activation using localization, the method includes: obtaining, by a computerized system of a vehicle, cross-statistical data, analyzing, the cross-statistical data with respect to one or more first artificial intelligence models of the first set currently activated in association with the first road segment; and predicting, based on analysis of the cross-statistical data, an artificial intelligence model for activation in a driving of the vehicle when approaching the second road segment. The artificial intelligence models of the first set and of the second set are trained each, in a scenario-level learning, and further, by collecting special-purpose data relating directly to a specified road segment indication and reflecting behavioral data of drivers captured along a specified road segment, to provide a special-purpose decision making that is adaptive to the specified road segment indication, in accordance with the driving scenario.