Other

Uber Technologies, Inc.

Uatc, LLC

Yifang Liu

Richard Brian Donnelly

Bryan John Nagy

Xiaodong Zhang

Jeff Schneider

Andrew Raymond Sturges

Alexander Edward Chao

Collin Christopher Otis

An autonomous vehicle includes one or more sensors for detecting an object in an environment surrounding the autonomous vehicle and a vehicle computing system comprising one or more processors receiving canonical route data associated with at least one canonical route, and controlling travel of the autonomous vehicle based on sensor data from the one or more sensors and the canonical route data associated with the at least one canonical route. The at least one canonical route comprises at least one roadway connected with another roadway in a plurality of roadways in a geographic location that satisfies at least one route optimization function derived based on trip data associated with one or more traversals of the plurality of roadways in a geographic location by one or more autonomous vehicles.

Determining autonomous vehicle routes

An electronic device, which may be handheld, is provided with a touch sensor and display screen. The display screen may be on a front surface of the device, and the touch sensor may be on a rear surface. Virtual keyboard key contact areas are responsive to user touch inputs, without providing any visual indicia on the display screen indicative of the positions associated with the key contact areas. Key contact area positions can be dynamically adjusted in response to locations on the touch sensitive input surface of user touch inputs.

Multi-perspective input for computing devices

A handheld electronic device is provided with touch sensors on multiple different surfaces of the device, such as a front display, a rear surface, and one or more side surfaces. Haptic gestures on the various sensors may be processed as user interaction inputs for an operating system and/or application software. Such a configuration may be utilized for a typing keyboard on a rear surface of a device, leaving the front display available for content other than a keyboard. Such a device with multiple touch sensors may also be effectively utilized to efficiently manipulate object representations rendered in three or more dimensions in a scene. Touch inputs may be dynamically mapped, further assisting in convenient usage of surfaces that may not be directly within a user's line of sight for input.

A method for determining a canonical route includes receiving trip data associated with one or more traversals of a plurality of roadways in a geographic location by one or more autonomous vehicles. The method includes generating at least one canonical route based on the trip data, wherein the at least one canonical route includes at least one roadway connected with another roadway in the plurality of roadways. The method includes providing canonical route data associated with the at least one canonical route to an autonomous vehicle for controlling travel of the autonomous vehicle on the at least one canonical route.

A travel coordination system allows a rider to request a trip with a flexible departure time. The rider can specify a pick-up location, a trip destination, a target trip price, and a departure timeframe for the trip. The travel coordination system attempts to assign the rider to a provider at a point in time during the departure timeframe when the trip price would be less than or equal to the target trip price. The travel coordination system may also guarantee that the rider will pay no more than the target trip price if the travel coordination system determines that the trip price is likely to be lower than the target trip price at some point in time during the departure timeframe.

Flexible departure time for trip requests

A method and system for determining and updating a value pertaining to supply and/or demand conditions of a service in a specified geographic region is provided. The method and system enable resources to be managed over multiple geographic regions. The system determines an initial value pertaining to supply and/or demand conditions in the specified geographic area based on data collected from provider and requester devices. The system determines whether the initial value requires real-time update to account for unpredictable and fast-changing variations in supply and/or demand conditions that can cause imbalance in resource allocation across the multiple geographic regions. If the system determines that the initial value requires real-time update, the system generates a real-time value based on supply and/or demand information pertaining to conditions in nearby geographic regions. The system facilitates the provision of the service using real-time value or the initial value, depending on the determination.

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Burlingame, CA, United States of America

Yifang Liu