Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes calculating, via a router of a vehicle system that accesses road map data, at least one route to a destination based on the road map data, thereby producing route solution data. The vehicle system enters a remote assistance mode in response to remote assistance decision data received from a blockage arbiter of the vehicle system. In the remote assistance mode, the method includes determining, via the router, at least one road segment of the road map data that is permitted to be blacklisted, thereby producing permitted blacklist data. The method includes transmitting the permitted blacklist data and the route solution data, via a vehicle communications module of the vehicle system, to a remote vehicle assistance system. The method includes updating, via the router, the road map data to exclude at least one blacklisted road segment defined by the permitted blacklist data.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: receiving semantic map data, via a processor, wherein the semantic map data includes traffic light location data, calculating route data using the semantic map data, via a processor; viewing, via a sensing device, a traffic light and assessing a state of the viewed traffic light, via a processor, based on the traffic light location data, and controlling driving of an autonomous vehicle based at least on the route data and the state of the traffic light, via a processor.

Abstract: A system and method for providing routing instructions to one or more autonomous vehicles includes identifying a destination of an autonomous vehicle; identifying a starting position or an initial location of the autonomous vehicle; receiving autonomous vehicle sensor data; receiving one or more routing goals for a routing plan for the autonomous vehicle; generating one or more route modification parameters; and generating a route plan for the autonomous vehicle based on (a) the destination, (b) the starting position or the initial location, (c) the one or more route modification parameters and (d) the one or more routing goals.

Abstract: Systems and methods for automatic maintenance of an autonomous vehicle include: identifying a maintenance requirement for an autonomous vehicle, wherein identifying a maintenance requirement includes using one or more sensors to obtain vehicle maintenance data; in response to identifying the maintenance requirement, generating a maintenance request comprising a description or data relating to the maintenance requirement; transmitting the maintenance request; receiving maintenance instructions comprising maintenance routing instructions and a maintenance schedule for a maintenance session for resolving the maintenance requirement; and implementing the maintenance instructions.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a vehicle includes: an imaging device, a reference data source, one or more sensors, one or more actuators, and a controller. The controller detects a stationary condition based at least in part on the sensor output, obtains an image during the stationary condition, identifies a reference position for a reference object based on reference data for a field of view of the imaging device during the stationary condition, identifies the reference object at a second position within the image, validates a transformation associated with the imaging device based on a difference between the reference position and the second position, and thereafter autonomously operates the one or more actuators in a manner that is influenced by the validated transformation.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a vehicle includes: an imaging device, a reference data source, one or more sensors, one or more actuators, and a controller. The controller detects a stationary condition based at least in part on the sensor output, obtains an image during the stationary condition, identifies a reference position for a reference object based on reference data for a field of view of the imaging device during the stationary condition, identifies the reference object at a second position within the image, validates a transformation associated with the imaging device based on a difference between the reference position and the second position, and thereafter autonomously operates the one or more actuators in a manner that is influenced by the validated transformation.

Abstract: Systems and methods are provided for analyzing traffic signal lights in order to control an autonomous vehicle. A method includes receiving an image from a camera regarding at least one traffic signal light and receiving data related to the traffic signal light. Neural networks determine location and characteristics of the traffic signal light.

Abstract: A system and method for locating and identifying a potential passenger by an autonomous vehicle includes: receiving a pickup request for the potential passenger, where the pickup request includes a geographic location for locating and picking up the potential passenger by the autonomous vehicle; locating the potential passenger based on the geographic location and using data from one or more sensors of the autonomous vehicle; and in response to locating the potential passenger, controlling the autonomous vehicle to a position to enable pickup of the potential passenger.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: receiving semantic map data, via a processor, wherein the semantic map data includes traffic light location data, calculating route data using the semantic map data, via a processor; viewing, via a sensing device, a traffic light and assessing a state of the viewed traffic light, via a processor, based on the traffic light location data, and controlling driving of an autonomous vehicle based at least on the route data and the state of the traffic light, via a processor.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes calculating, via a router of a vehicle system that accesses road map data, at least one route to a destination based on the road map data, thereby producing route solution data. The vehicle system enters a remote assistance mode in response to remote assistance decision data received from a blockage arbiter of the vehicle system. In the remote assistance mode, the method includes determining, via the router, at least one road segment of the road map data that is permitted to be blacklisted, thereby producing permitted blacklist data. The method includes transmitting the permitted blacklist data and the route solution data, via a vehicle communications module of the vehicle system, to a remote vehicle assistance system. The method includes updating, via the router, the road map data to exclude at least one blacklisted road segment defined by the permitted blacklist data.

Abstract: Systems and methods for automatic maintenance of an autonomous vehicle include: identifying a maintenance requirement for an autonomous vehicle, wherein identifying a maintenance requirement includes using one or more sensors to obtain vehicle maintenance data; in response to identifying the maintenance requirement, generating a maintenance request comprising a description or data relating to the maintenance requirement; transmitting the maintenance request; receiving maintenance instructions comprising maintenance routing instructions and a maintenance schedule for a maintenance session for resolving the maintenance requirement; and implementing the maintenance instructions

Abstract: A system and method for providing routing instructions to one or more autonomous vehicles includes identifying a destination of an autonomous vehicle; identifying a starting position or an initial location of the autonomous vehicle; receiving autonomous vehicle sensor data; receiving one or more routing goals for a routing plan for the autonomous vehicle; generating one or more route modification parameters; and generating a route plan for the autonomous vehicle based on (a) the destination, (b) the starting position or the initial location, (c) the one or more route modification parameters and (d) the one or more routing goals.

Abstract: A system and method for locating and identifying a potential passenger by an autonomous vehicle includes: receiving a pickup request for the potential passenger, where the pickup request includes a geographic location for locating and picking up the potential passenger by the autonomous vehicle; locating the potential passenger based on the geographic location and using data from one or more sensors of the autonomous vehicle; and in response to locating the potential passenger, controlling the autonomous vehicle to a position to enable pickup of the potential passenger.