Uatc, LLC

Rideos, Inc.

Uber Technologies, Inc.

Justin Wayne Ho

Christopher Blumenberg

Billy P Chen

Richard Brian Donnelly

Sean Jeffrey Kelly

Rohan Paranjpe

James Lee Epifano

Thomas Kielbus

Noah Zych

Christopher D Moore

Min Ji Lee

Erik Reed

Michel Tricot

Vehicle control systems can include one or more location sensors, an energy storage device, one or more charge sensors and one or more vehicle computing devices. The location sensor(s) can determine a current location of a vehicle, while the charge sensor(s) can determine a current state of charge of an energy storage device that can be located onboard the vehicle to provide operating power for one or more vehicle systems. The vehicle computing device(s) can communicate the current location of the vehicle and current state of charge of the energy storage device to a remote computing device, receive from the remote computing device a charging control signal determined, at least in part, from the current location of the vehicle and the current state of charge of the energy storage device, and control charging of the energy storage device in accordance with the charging control signal.

Charge control system for mobile energy storage fleet

A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

System and method of overlaying real-time data onto an autonomous vehicle routing cost model

An autonomous vehicle is operable to follow a primary trajectory that forms a portion of a route. While controlling the autonomous vehicle, the autonomous vehicle calculates a failsafe trajectory to follow as a response to a predetermined type of event.

Autonomous vehicle operated with safety augmentation

A method includes storing representations of a passengers and fleet vehicles. The method includes generating a graph representation of a geographic map that includes requested pick-up locations and drop-off locations for the passengers and generating a state graph representation of the passengers and the fleet vehicles. The state graph representation includes a plurality of nodes connected by edges. Each of the plurality of nodes represents a candidate state of the passengers and the fleet vehicles. A respective edge of the state graph representation represents an action of a respective vehicle picking up or dropping off a passenger. The respective edge has a cost that is based at least in part on traversal of the graph representation of the geographic map. The method further includes using the state graph representation to generate a set of routes and route the fleet vehicles in accordance with the generated set of routes.

System and method for routing in a ride-share transportation network

Systems and methods for routing a fleet of vehicles

A method includes generating a cost model for routing an autonomous vehicle. The cost model includes, for an intersection, a plurality of costs for distinct maneuvers through the intersection. The cost model is represented as a graph of nodes and edges, the edges having respective edge weights that represent costs in the cost model. Each edge of the representation of the intersection represents a respective maneuver through the intersection. The method further includes, in response to a request to route an autonomous vehicle: selecting a route in accordance with the cost model, wherein the selecting is based at least in part on one of the plurality of costs for the distinct maneuvers through the intersection; and routing the autonomous vehicle in accordance with the selected route.

System and method for routing using intersection costs

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San Francisco, CA, United States of America

Justin Wayne Ho