Autonomous vehicle delivery
AssigneeState Farm Mutual Automobile Insurance Company
InventorsRyan Gammelgard, Justin Davis
Life of this patent
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Abstract
Autonomous vehicle methods and systems are described herein for communicating with an autonomous or semi-autonomous vehicle to remotely control operation of the vehicle, to detect and remove unauthorized passengers, to deliver loads, to receive registration information for the vehicle, to provide accessibility information to the vehicle, and/or to receive sensor or other environmental data to integrate with an electronic game or other extended reality experience.
Claims17
A computer-implemented method for optimizing delivery routes and delivering loads using a combination of one or more autonomous or semi-autonomous vehicles and one or more drones, comprising:
- determining, by one or more processors, a destination location for transporting a load from a starting location;
- determining, by the one or more processors, a first route for one or more autonomous or semi-autonomous vehicles to transport the load to an intermediate location;
- determining, by the one or more processors, a second route for one or more drones to transport the load from the intermediate location to the destination location;
- determining, by the one or more processors, one or more physical characteristics of the load;
- determining, by the one or more processors, a number of drones to deliver the load from the intermediate location to the destination location within a user-determined time frame based upon the one or more physical characteristics of the load;
- determining, by the one or more processors, whether the one or more autonomous or semi-autonomous vehicles are capable of carrying both the load and the determined number of drones based upon at least the one or more physical characteristics of the load;
- causing, by the one or more processors, the one or more autonomous or semi-autonomous vehicles to transport the load to the intermediate location along the first route;
- and
- causing, by the one or more processors, the determined number of drones to transport the load along the second route from the intermediate location to the destination location.
A computer system configured to optimize delivery routes and deliver loads using a combination of one or more autonomous or semi-autonomous vehicles and one or more drones, the computer system comprising one or more local or remote processors, transceivers, and/or sensors configured to:
- determine a destination location for transporting a load from a starting location;
- determine a first route for one or more autonomous or semi-autonomous vehicles to transport the load to an intermediate location;
- determine a second route for one or more drones to transport the load from the intermediate location to the destination location;
- determine one or more physical characteristics of the load;
- determine a number of drones necessary to deliver the load from the intermediate location to the destination location within a user-determined time frame based upon the one or more physical characteristics of the load;
- determine whether the one or more autonomous or semi-autonomous vehicles are capable of carrying both the load and the determined number of drones based upon at least the one or more physical characteristics of the load;
- cause the one or more autonomous or semi-autonomous vehicles to transport the load to the intermediate location along the first route;
- and
- cause the determined number of drones to transport the load along the second route from the intermediate location to the destination location.
A non-transitory computer-readable medium storing thereon a set of instructions that, when executed by one or more processors, causes the one or more processors to:
- determine a destination location for transporting a load from a starting location;
- determine a first route for one or more autonomous or semi-autonomous vehicles to transport the load to an intermediate location;
- determine a second route for one or more drones to transport the load from the intermediate location to the destination location;
- determine one or more physical characteristics of the load;
- determine a number of drones necessary to deliver the load from the intermediate location to the destination location within a user-determined time frame based upon the one or more physical characteristics of the load;
- determine whether the one or more autonomous or semi-autonomous vehicles are capable of carrying both the load and the determined number of drones based upon at least the one or more physical characteristics of the load;
- cause the one or more autonomous or semi-autonomous vehicles to transport the load to the intermediate location along the first route;
- and
- cause the determined number of drones to transport the load along the second route from the intermediate location to the destination location.
Dependencies are inferred from the claim text.