1. An autonomous vehicle pictorial language system comprising: a plurality of sensors; a driver preferences database; a human-machine interface; and a processing circuitry configured to receive output from the plurality of sensors, receive a driver model from the driver preferences database, the driver model predicting driver action in a plurality of driving situations based on a safety margin defined in the driver preferences, and display a pictorial language via the human-machine interface in response to the output from the plurality of sensors and the driver model, wherein the pictorial language includes one or more of a noun, verb, first adverb, object classifier, and second adverb to construct a plan sentence.
1. An autonomous vehicle pictorial language system comprising: a plurality of sensors; a driver preferences database; a human-machine interface; and a processing circuitry configured to receive output from the plurality of sensors, receive a driver model from the driver preferences database, the driver model predicting driver action in a plurality of driving situations based on a safety margin defined in the driver preferences, and display a pictorial language via the human-machine interface in response to the output from the plurality of sensors and the driver model, wherein the pictorial language includes one or more of a noun, verb, first adverb, object classifier, and second adverb to construct a plan sentence. 2. The autonomous vehicle pictorial language system of claim 1 , wherein the processing circuitry is further configured to display the plan sentence, receive a driver response sentence, determine if the driver sentence received does not match the plan sentence more than a predetermined number of times, change the first adverb of the plan sentence in response to the driver sentence not matching the plan sentence more than the predetermined number of times, change the noun of the plan sentence in response to the driver sentence not matching the plan sentence more than the predetermined number of times, and update the driver model in response to one or more changes to the first adverb and the noun.