SELECTIVE LEARNING BY PREDICTION FOR DRIVING

DRIVE February 12, 2026
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A method of providing selective learning by prediction for driving, the method includes (a) obtaining, by a machine learning process using an artificial neural network trained across road elements, a first set of tokens with respect to an element captured in a sensed information unit in an environment of a vehicle, the first set of tokens representing respective attributes characterizing the first element; (b) obtaining, by the machine learning process, a second set of tokens generated respect to the vehicle and representing respective attributes characterizing the vehicle; (c) obtaining, by the machine learning process, a scenario indication that is indicative of a scenario faced by the vehicle in the environment; and (d) processing, by the machine learning process, the first set of tokens in correspondence with the second set of tokens and with respect to the scenario.

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