Florida Atlantic University

Mehrdad Nojoumian

Systems and methods including at least one internal sensor attached internally to a vehicle, at least one external sensor mounted externally to the vehicle, wherein the external sensor detects at least one of a distance of other vehicles, a speed of other vehicles, driving patterns of other vehicles, and weather conditions; and at least one display configured to receive input from the internal sensor and the at least one external sensor, wherein the at least one display notifies a driver of an adjacent vehicle and/or a system controlling an adjacent manually-driven, semi-autonomous, or self-driving car of at least one of the occupation status of the vehicle, operational status of the vehicle, weather conditions, changing driving behaviors, when the adjacent vehicle exceeds a speed threshold, and/or when the distance between the vehicle and the adjacent vehicle falls below a minimum separation distance.

Active occupant status and vehicle operational status warning system and methods

Systems and methods for controlling a vehicle. The methods comprise: receiving, by a computing device from at least one sensor, first sensor information specifying actions taken by a person while driving the vehicle or another vehicle; performing machine learning operations to learn first driving habits of the person based on at least one of the first sensor information; determining at least one autonomous driving rule for a particular driving style setting of a plurality of driving style setting options based on the machine-learned driving habits of the person; programming the particular driving style setting using the at least one autonomous driving rule; and causing the vehicle to enforce the at least one autonomous driving rule when the particular driving style setting is selected.

Adaptive driving mode in semi or fully autonomous vehicles

Systems and methods for controlling a fully or semi autonomous vehicle. The methods comprise: receiving first sensor information specifying a person's emotion and physiological response to the autonomous vehicle's operation, or a person's general mood; predicting a first mood of the person based on at least one of the first sensor information and demographic information indicating a level of distrust, fear, anxiety or stress relating or not relating to autonomous vehicles by people having at least one characteristic in common; selecting a first vehicle operational mode from a plurality of pre-defined vehicle operational modes based on the predicted first mood of the person; and causing control of the autonomous vehicle in accordance with rules associated with the selected first vehicle operational mode.

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Boca Raton, FL, United States of America

Mehrdad Nojoumian