A device for vehicular data relation, comprising: an internal audio/image data analyzer, configured to identify within first data representing audio and an image from within the vehicle, second data representing an audio indicator and an image indicator, wherein the audio indicator is human speech, and wherein the image indicator represents an action of a human within the vehicle, wherein the speech and the action are provided by a human instructor; an external image analyzer, configured to: identify, within third data representing an image of a vicinity external to the vehicle, an object corresponding to the audio indicator and the image indicator; and an object data generator, configured to generate object data, wherein the object data comprise at least one of an identity of the object, an action of the object, or a priority of the object, wherein the internal audio/image data analyzer to identify second data comprises the internal audio/image data analyzer identifying one or more keywords within the audio and identifying a human gesture or a human gaze direction within the image, wherein the external image analyzer is configured to identify the object based at least two of: one or more keywords, one or more gestures, or a gaze direction, and wherein the object data generator is further configured to classify the third data based on the third data's relevance in training of a trainable model, wherein said model is trainable to classify an object identified in the third data and corresponding to the audio indicator and the image indicator based on its relevance for driving decisions. an internal audio/image data analyzer, configured to identify within first data representing audio and an image from within the vehicle, second data representing an audio indicator and an image indicator, wherein the audio indicator is human speech, and wherein the image indicator represents an action of a human within the vehicle, wherein the speech and the action are provided by a human instructor; identify within first data representing audio and an image from within the vehicle, second data representing an audio indicator and an image indicator, wherein the audio indicator is human speech, and wherein the image indicator represents an action of a human within the vehicle, wherein the speech and the action are provided by a human instructor; an external image analyzer, configured to: identify, within third data representing an image of a vicinity external to the vehicle, an object corresponding to the audio indicator and the image indicator; and an object data generator, configured to generate object data, wherein the object data comprise at least one of an identity of the object, an action of the object, or a priority of the object, wherein the internal audio/image data analyzer to identify second data comprises the internal audio/image data analyzer identifying one or more keywords within the audio and identifying a human gesture or a human gaze direction within the image, wherein the external image analyzer is configured to identify the object based at least two of: one or more keywords, one or more gestures, or a gaze direction, and wherein the object data generator is further configured to classify the third data based on the third data's relevance in training of a trainable model, wherein said model is trainable to classify an object identified in the third data and corresponding to the audio indicator and the image indicator based on its relevance for driving decisions.