Uber Technologies, Inc.

Theodore Russell Sumers

John Conway Badalamenti

Joshua Jacob Inch

Christopher Michael Sanchez

Miao Yu

Sophia Cui

Thi Duong Nguyen

Andrew Joseph Beinstein

Xingwen Zhang

Joseph Patrick Sullivan

Mohammed Waleed Kadous

Kevin Brinig

Andrew T Irish

Karim Wahba

David Purdy

Nirveek De

Dinesh Ramasamy

Maksim Ioffe

Vivek Sankaravadivel

Dhruv Tyagi

Li Chen

Brandon Layton

Gang Su

Hemabh Shekar

Joshua Inch

A network system, such as a transport management system, infers movement and a location of a vehicle associated with a transportation service using sensor data from a provider client device and a wireless device mounted in a fixed position in the vehicle. Before or during a transportation service, the provider client device transmits sensor data to the network system for use in detecting the occurrence of one or more specified events, such as a sudden deceleration or a harsh turn. The network system fuses the received sensor data to infer the movement of the vehicle along forward, lateral, and vertical axes and implements an event detector by analyzing movement of the vehicle in the forward direction. Fused sensor data received from the wireless device is used to validate the detected movement and to determine a position of the vehicle.

Inferring vehicle location and movement using sensor data fusion

Cascaded, boosted predictive models trained using distinct sets of exogenous and endogenous features are configured to predict component of performance ratings of entities. From the distinct predicted components, the second entity's rating factor can be determined. A second entity's rating factor represents the specific contribution a second entity makes to his average performance rating, as distinct from the rating that an arbitrary or hypothetical second entity would obtain.

Cascaded boosted predictive models

A network system, such as a transport management system, uses augmented reality (AR) to identify an approaching vehicle. Responsive to receiving a trip request, a trip management module matches the rider with an available driver and instructs a trip monitoring module to monitor the location of the driver's vehicle as it travels to the pickup location. When the driver's vehicle is within a threshold distance of the pickup location, an AR control module instructs the rider client device to begin a live video stream and instructs an image recognition module to monitor the video stream for the driver's vehicle. Responsive to the driver's vehicle entering the field of view of the camera on the rider client device, the AR control module selects computer-generated AR elements and instructs the rider client device to visually augment the video stream to identify the driver's vehicle as it approaches the pickup location.

Augmented reality assisted pickup

A network system, such as a transport management system, selects a pickup location for a trip and navigates a rider to the selected pickup location using augmented reality (AR). Responsive to receiving a trip request including an origin location, a pickup location selection module selects candidate pickup locations within a threshold distance of the rider client device. The pickup location selection module filters and ranks the candidates based on historical service data and location characteristics associated with the origin location as well as any history of pickups of the rider at the origin location and data from the trip request. The top-ranked candidate is selected as the pickup location and sent to the rider and driver client devices. An AR navigation module instructs the rider client device to visually augment a live video stream with computer-generated AR elements to navigate the rider from a current location to the pickup location.

Pickup location selection and augmented reality navigation

In context of a transportation service provided through a transport arrangement service, examples determine a point of trip termination for a trip. The point of trip termination can be determined from passive information that is collected from a computing device of a driver. The point of trip termination can be determined based on driver input and the collected information from the driver's computing device.

Trip termination determination for on-demand transport

A tracking server receives GPS data from a location tracking device located in a vehicle. The GPS data describes a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The tracking server identifies noisy GPS data included in the received GPS data and revises a portion of path corresponding to the noisy GPS data. The tracking server may update a map database to include one or more road segments associated with the revised portion of the path. Furthermore, the tracking server may calculate a fare for the trip based on the revised path.

Simplifying GPS data for map building and distance calculation

Examples provide for a computing system to obtain sensor data of one or more types, from one or more sensor components of a computing device associated with a user of the vehicle. The sensor data reflects an attribute of the vehicle's operation when the computing device is carried within or in proximity to the vehicle during the vehicle's operation. One or more characterizations may be determined for the vehicle based on the sensor data.

Vehicle monitoring system

Examples include a network computer system and/or service which operates to remotely monitor vehicles to detect and characterize driving actions of drivers with respect to specific road segments of a roadway, enabling driving actions performed by multiple drivers at a specific road segment to be characterized and modeled. Models can inform municipalities about potential traffic hazards or other safety challenges. Individual drivers can also be measured against the model to help understand driver performance. Validating vehicle data against baseline values can also detect spoofing of that data.

Network computer system for analyzing driving actions of drivers on road segments of a geographic region

Growing community of inventors

San Francisco, CA, United States of America

Theodore Russell Sumers