Abstract: A vehicle may be configured to detect an object within an interior of the vehicle using a vehicle sensor. The vehicle may further determine whether the object should be removed, based on a determined object value, such as may be determined by comparison of an object characteristic to a database of objects. Also, responsive to determining the object should be removed, the vehicle may schedule removal at an automated object-removal center. The vehicle may also wirelessly notify the object-removal center of vehicle arrival when the vehicle arrives at the object-removal center, including sending identification of the object, receiving indication from the object-removal center that the object has been removed, and confirming removal of the object by attempting to detect the object using the vehicle sensor, the confirmation occurring based on non-detection of the object by the vehicle that originally detected the object and requested removal.

Abstract: A memory stores call records to a plurality of contacts. A processor is programmed to determine probabilities of calling contacts according to current contextual information and call inferences determined from clusters of a context-encoded model created from the call records, each cluster corresponding to a unique combination of ranges of values of the contextual information; and identify the most likely next contact to call as the one of the plurality of contacts having a highest of the probabilities.

Abstract: Electrified vehicle including a vehicle battery, and a processor configured to receive map data and generate a route based on the map data, and in response to a required vehicle energy needed to complete the route exceeding the current vehicle energy, modify the route to include at least one charging stop, wherein the at least one charge stop includes: a first number of shorter charging stops for recharging the battery at a first rate to a first state of charge less than a maximum state of charge, and a second number of longer charging stops for recharging the battery at a second rate to a second state of charge higher than the first state of charge, wherein the first rate is faster than the second rate and the first and second number of charging stops are selected to minimize combined charging time of the at least one charging stop.

Abstract: A computer determines that a rate of travel value for a route segment being traversed by a first vehicle exceeds a predetermined threshold. A maneuver is planned for the first vehicle to depart from the route segment based on collected vehicle operating data from one or more second vehicles previously traversing the route segment. The first vehicle is instructed to execute the maneuver to depart the route segment.

Abstract: A vehicle may be configured to detect an object within an interior of the vehicle using a vehicle sensor. The vehicle may further determine whether the object should be removed, based on a determined object value, such as may be determined by comparison of an object characteristic to a database of objects. Also, responsive to determining the object should be removed, the vehicle may schedule removal at an automated object-removal center. The vehicle may also wirelessly notify the object-removal center of vehicle arrival when the vehicle arrives at the object-removal center, including sending identification of the object, receiving indication from the object-removal center that the object has been removed, and confirming removal of the object by attempting to detect the object using the vehicle sensor, the confirmation occurring based on non-detection of the object by the vehicle that originally detected the object and requested removal.

Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with wireless networks that communicate with vehicles to permit autonomous vehicles to self-schedule refueling at fueling stations serving a mixture of autonomous, semi-autonomous and occupant piloted vehicles.

Abstract: A vehicle includes a controller, programmed to responsive to user input to pick up an item at a shop, calculate an estimated time of arrival (ETA) to the shop and a predicted preparation time for the item by the shop; and responsive to a current time being within a grace period to the preparation time before the ETA, place an order for the item.

Abstract: A system includes a computer programmed to, in response to receiving a parking transmission from a parked vehicle, transmit a parking authorization credential to the parked vehicle for rebroadcast from the parked vehicle, the parking authorization credential confirming that the parked vehicle is authorized for a parking location.

Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with a fueling control computer that communicates with vehicles via wireless networks to move vehicles between waiting zones, service zones and served zones. Refueling stations can include liquid fuel, compressed gas and electric charging.

Abstract: A system of one or more computers configured to perform operations or actions by virtue of having software, firmware, hardware, or a combination installed on the system which causes the system to perform actions. One or more computer programs can be configured to perform operations or actions by virtue of including instructions that cause the apparatus to perform the actions. One general aspect includes a system, including a computer programmed to receive a pickup request with a current location of a rider. The system determine a route to the rider, based on a geolocation of a vehicle and the location of the rider. The system receives updated locations from the rider, and updates the route to the rider for the driver. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

Abstract: A vehicle system includes a communication interface programmed to receive a video signal from a mobile aerial vehicle. The video signal includes a live video stream and is associated with a geographic location. The vehicle system further includes a processor having a memory. The processor is programmed to command a user interface to present the live video stream in response to a user input selecting the geographic location. In some implementations, the vehicle system commands the mobile aerial vehicle to operate in a follow mode or a control mode.

Abstract: A computer determines that a rate of travel value for a route segment being traversed by a first vehicle exceeds a predetermined threshold. A maneuver is planned for the first vehicle to depart from the route segment based on collected vehicle operating data from one or more second vehicles previously traversing the route segment. The first vehicle is instructed to execute the maneuver to depart the route segment.

Abstract: An exemplary electric vehicle includes a data storage module to hold a range of past energy consumption rates for an electric vehicle, and a controller to calculate a predicted energy consumption for the electric vehicle based on variations in the past energy consumption rates across the range. An exemplary vehicle assembly includes a data storage module to hold a range of past energy consumption rates for an electric vehicle, and a controller configured to calculate a predicted energy consumption for the electric vehicle based on variations in the range. An operation of the electric vehicle is configured to alter in response to the predicted energy consumption.

Abstract: An operating mode is determined for a vehicle according to respective control states of each of a plurality of vehicle subsystems that include braking, steering, and propulsion. The operating mode is one of manual control, partial manual control, and no manual control. A route for the vehicle is determined based in part on the operating mode.

Abstract: An operating mode is determined for a vehicle according to respective control states of each of a plurality of vehicle subsystems that include braking, steering, and propulsion. The operating mode is one of manual control, partial manual control, and no manual control. A route for the vehicle is determined based in part on the operating mode.

Abstract: An exemplary electric vehicle includes a data storage module to hold a range of past energy consumption rates for an electric vehicle, and a controller to calculate a predicted energy consumption for the electric vehicle based on variations in the past energy consumption rates across the range. An exemplary vehicle assembly includes a data storage module to hold a range of past energy consumption rates for an electric vehicle, and a controller configured to calculate a predicted energy consumption for the electric vehicle based on variations in the range. An operation of the electric vehicle is configured to alter in response to the predicted energy consumption.

Abstract: An example method of controlling an electric vehicle includes altering operation of an electric vehicle in response to a predicted energy consumption rate. The method includes adjusting the predicted energy consumption in response to variations in past energy consumption rates.

Abstract: A vehicle system for indicating available driving distance includes a display and a controller programmed to store energy consumption data and driving distance data from previous drive cycles. The controller is further programmed to store the previous vehicle drive cycle data according to day of week, and during a current drive cycle, to output via the display an available driving distance. The controller is further configured to generate the available drive distance based on an expected energy consumption rate and an expected driving distance, each corresponding to the day of the week of the current drive cycle.

Abstract: An example method of controlling an electric vehicle includes altering operation of an electric vehicle in response to a predicted energy consumption rate. The method includes adjusting the predicted energy consumption in response to variations in past energy consumption rates.