CPC B60W 60/0013 (2020.02) [B60H 1/00735 (2013.01); B60Q 3/80 (2017.02); B60R 16/037 (2013.01); B60W 10/30 (2013.01); B60W 2554/802 (2020.02); B60W 2710/18 (2013.01); B60W 2710/30 (2013.01); B60W 2720/10 (2013.01)] | 20 Claims |
1. A method for configuring a cabin of a vehicle, the method comprises:
identifying a group of persons in the vehicle; wherein the group of persons comprises a first person and a second person that differs from the first person;
feeding, to a first machine learning process, sensed information indicative of an environment of the vehicle;
configuring the cabin, using the first machine learning process, based on information pertaining to the first person and the sensed information, by configuring an in-cabin system associated with the cabin;
feeding, to a second machine learning process, the sensed information; and
at least partially controlling, by the second machine learning process, the driving of the vehicle by outputting vehicle control-related decisions, based on information pertaining to the second person and the sensed information; wherein the second machine learning process was trained to map the information pertaining to the second person and the sensed information to the vehicle control-related decisions, such that the sensed information effects both the controlling of the cabin and the controlling of the driving of the vehicle, using the first machine learning process and the second machine learning process respectively.
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