Abstract: A method, computer program product, and computing system for monitoring the interior of an autonomous vehicle for information being provided by a rider of the autonomous vehicle to the autonomous vehicle; and processing the information provided by the rider of the autonomous vehicle to the autonomous vehicle to generate a response based, at least in part, upon the information provided by the rider of the autonomous vehicle.

Abstract: A method, computer program product, and computing system for monitoring one or more machine vision sensors to obtain perception information concerning one or more pedestrians proximate an autonomous vehicle; identifying one or more humanoid shapes within the perception information, thus defining one or more detected humanoid shapes; generating proximate object display information that locates the one or more detected humanoid shapes with respect to the autonomous vehicle; and rendering the proximate object display information on a visual display system, thus confirming the perception of the one or more pedestrians by the autonomous vehicle.

Abstract: A vehicular control system includes a plurality of electronic control units (ECUs), each providing a respective quantity of computational units representative of an amount of processing power of the respective ECU. The ECUs operate a vehicle in a nominal autonomous operational mode when a sum of the quantity of computational units exceeds a threshold. The system, while the ECUs operate the vehicle in the nominal autonomous operational mode, and responsive to detecting a failure of one of the ECUs, determines whether a sum of the quantity of computational units of the remaining ECUs that do not have a failure exceeds the threshold. The ECUs, responsive to the system determining that the sum of the quantity of computational units of the remaining ECUs fails to exceed the threshold, switches from operating the vehicle in the nominal autonomous operational mode to operating the vehicle in a degraded autonomous operational mode.

Abstract: A status indication system for conveying status information concerning a movable vehicle includes: an interface system configured to receive perception information concerning one or more objects proximate the movable vehicle; a processing system configured to process the perception information to generate proximate object display information; and a visual display system configured to render the proximate object display information.

Abstract: A method, computer program product, and computing system for monitoring one or more machine vision sensors to obtain perception information concerning one or more third-party vehicles proximate an autonomous vehicle; identifying one or more vehicle shapes within the perception information, thus defining one or more detected vehicles shapes; generating proximate object display information that locates the one or more detected vehicles shapes with respect to the autonomous vehicle; and rendering the proximate object display information on a visual display system, thus confirming the perception of the one or more third-party vehicles by the autonomous vehicle.

Abstract: A method, computer program product, and computing system for operating an autonomous vehicle; monitoring the operation of a plurality of computing devices within the autonomous vehicle; and in response to detecting the failure of one or more of the plurality of computing devices, switching the autonomous vehicle from a nominal autonomous operational mode to a degraded autonomous operational mode.

Abstract: A status indication system for conveying status information concerning a movable vehicle includes: an interface system configured to receive perception information concerning one or more objects proximate the movable vehicle; a processing system configured to process the perception information to generate proximate object display information; and a visual display system configured to render the proximate object display information.

Abstract: A method, computer program product, and computing system for monitoring one or more machine vision sensors to obtain perception information concerning one or more third-party vehicles proximate an autonomous vehicle; identifying one or more vehicle shapes within the perception information, thus defining one or more detected vehicles shapes; generating proximate object display information that locates the one or more detected vehicles shapes with respect to the autonomous vehicle; and rendering the proximate object display information on a visual display system, thus confirming the perception of the one or more third-party vehicles by the autonomous vehicle.

Abstract: A method, computer program product, and computing system for monitoring one or more machine vision sensors to obtain perception information concerning one or more pedestrians proximate an autonomous vehicle; identifying one or more humanoid shapes within the perception information, thus defining one or more detected humanoid shapes; generating proximate object display information that locates the one or more detected humanoid shapes with respect to the autonomous vehicle; and rendering the proximate object display information on a visual display system, thus confirming the perception of the one or more pedestrians by the autonomous vehicle.

Abstract: A method, computer program product, and computing system for monitoring the interior of an autonomous vehicle for information being provided by a rider of the autonomous vehicle to the autonomous vehicle; and processing the information provided by the rider of the autonomous vehicle to the autonomous vehicle to generate a response based, at least in part, upon the information provided by the rider of the autonomous vehicle.

Abstract: A method, computer program product, and computing system for operating an autonomous vehicle; monitoring the operation of a plurality of computing devices within the autonomous vehicle; and in response to detecting the failure of one or more of the plurality of computing devices, switching the autonomous vehicle from a nominal autonomous operational mode to a degraded autonomous operational mode.

Abstract: A method, computer program product, and computing system for monitoring the operating environment of an autonomous vehicle to generate one or more initial usage values; and calculating an initial failure contingency plan based, at least in part, upon the one or more initial usage values.