Abstract: Systems and methods that compare a validation image to one or more confirmation data sets, wherein each of the one or more confirmation sets is formed based on matching a document image and a confirmation image. In at least one example, one or more vehicle operability actions may be performed responsive to the validation image matching a confirmation data set of the one or more confirmation data sets. A refusal action may further be performed responsive to the validation image not matching the confirmation data, for example.

Abstract: Mechanisms, methods, and systems are provided for establishing safe-driving quotients. Output of one or more sensors oriented toward an exterior of a vehicle (such as front-facing cameras) may be used to detect events. Output of one or more sensors oriented toward an interior of the vehicle (such as driver-facing cameras) may be captured, then analyzed to determine behavioral results corresponding with the events. Safe-driving quotients may then be established based on a ratio of the behavioral results to the events.

Abstract: Embodiments of the present disclosure set forth techniques for compensating for a roll effect for an optical sensor. The techniques include receiving sensor data from at least one sensor associated with the vehicle, detecting an amount of a roll of the vehicle based on the sensor data, generating a command based on the detected amount of roll, and controlling an orientation of the optical sensor based on the command.

Abstract: Systems and methods that compare a validation image to one or more confirmation data sets, wherein each of the one or more confirmation sets is formed based on matching a document image and a confirmation image. In at least one example, one or more vehicle operability actions may be performed responsive to the validation image matching a confirmation data set of the one or more confirmation data sets. A refusal action may further be performed responsive to the validation image not matching the confirmation data, for example.

Abstract: One or more embodiments include a virtual personal assistant module executing on a virtual personal assistant system. The virtual personal assistant module obtains first sensor data from a first sensor included in a plurality of sensors. The virtual personal assistant module analyzes the first sensor data to generate a first result. The virtual personal assistant module obtains second sensor data from a second sensor included in the plurality of sensors. The virtual personal assistant module analyzes the second sensor data and the first result to generate a second result. The virtual personal assistant module outputs a natural language audio output to the user based on the second result.