Gm Global Technolgoy Operations, Inc.

Gm Cruise Holdings LLC

Bradley David Ryan

Stephanie Olivia Engle

Mariya Jacobo

Divya Thakur

John Logan Anderson

Jessica Leary

Michael Magnoli

Jonathon Staff

Josh Berlin

Kathryn Alexis Tuason

Stanley Shiao

Robin Yang

Christopher Fry

Chau-Yan Wang

Max Meyers

Pratik Patel

Cade Thurlby

Teresa Lin

Pratikbhai Patel

An autonomous vehicle including a vehicle propulsion system, a braking system, a steering system, and a computing system. The computing system includes a processor and memory that stores computer-executable instructions that cause the processor to select a route for a passenger of the autonomous vehicle for a trip to a destination. The route for the passenger is selected from a plurality of potential routes. The route for the passenger is selected based on a preference of the passenger and aggregate ride quality feedback from passengers of autonomous vehicles in a fleet at locations along the potential routes to the destination. The processor is further configured to control at least one of the vehicle propulsion system, the braking system, or the steering system to move the autonomous vehicle along the route as selected for the trip to the destination.

Dynamic route adjustment

Technologies for providing augmented reality wayfinding experiences in ridesharing applications are provided. In some examples, a method for providing augmented reality wayfinding experiences can include determining a first location of an autonomous vehicle (AV) relative to a second location of a client device associated with a user that requested a ride from the AV; based on the first location of the AV relative to the second location of the client device, determining a direction from the second location of the client device to the first location of the AV; presenting, at the client device, a feed from a camera sensor associated with the client device, the feed including a local scene captured by the camera sensor; and presenting a virtual content overlay on the feed, the virtual content overlay including an indication of the direction from the second location of the client device to the first location of the AV.

Augmented reality wayfinding in rideshare applications

An autonomous vehicle receives geographic location data defined via a mobile computing device operated by a user. The geographic location data is indicative of a device position of the mobile computing device. The autonomous vehicle also receives image data generated by the mobile computing device. The image data is indicative of a surrounding position nearby the device position. The surrounding position is selected from an image captured by a camera of the mobile computing device. A requested vehicle position (e.g., a pick-up or drop-off location) is set for a trip of the user in the autonomous vehicle based on the geographic location data and the image data. A route from a current vehicle position of the autonomous vehicle to the requested vehicle position for the trip of the user in the autonomous vehicle is generated. Moreover, the autonomous vehicle can follow the route to the requested vehicle position.

Navigating an autonomous vehicle based upon an image from a mobile computing device

A device for hailing a vehicle includes a location sensor outputting location information indicative of a location of the device. The device further includes a device interface configured to receive an input from a user of the device. Responsive to the input, a transmitter of the device transmits the location information, input information, and identification information for the device to a dispatch server system. The transmitter is further configured to route the location information, the input information, and the identification information for the device to only the dispatch server system. The identification information is used by the dispatch server system to set a predefined location associated with the identification information as a destination for a trip for the user in the vehicle. The predefined location is defined in an account corresponding to the identification information of the device maintained by the dispatch server system prior to receipt of the input.

Efficient ride request

Technologies for providing real-time visualizations of a behavior of an autonomous vehicle (AV) associated with a ride request. In some examples, a method for providing real-time visualizations of a behavior of an AV associated with a ride request can include receiving a user request for a ride from an AV, wherein the user request specifies a pick-up location associated with a user; receiving sensor data from one or more sensors associated with the AV; determining, based on the sensor data, a state and context of the AV while the AV is en route to the pick-up location; and presenting, at a display interface, a map depicting one or more visual indicators of the state and context of the AV, the state and context of the AV including a location of the AV and one or more AV operations.

Real-time visualization of autonomous vehicle behavior in mobile applications

An autonomous vehicle including a vehicle propulsion system, a braking system, a steering system, and a computing system that is in communication with the vehicle propulsion system, the braking system, and the steering system. The computing system includes a processor and memory that stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts including setting as a destination for a trip of the autonomous vehicle. The destination for the trip of the autonomous vehicle being set as a location of a second autonomous vehicle at a specific time. The processor is further configured to select a route to the destination for the trip of the autonomous vehicle. The processor is yet further configured to control at least one of the vehicle propulsion system, the braking system, or the steering system to move the autonomous vehicle along the route as selected for the trip.

Collaborative traveling

A method, autonomous system controller, and computer program product generate a first route for an autonomous vehicle to transport a first person from a first location to a destination. In response to determining that a second person satisfies trigger criteria comprising: (i) being at a second location that is within a proximity threshold to the first route; (ii) being associated with the first person; and (iii) being associated with the destination, an affordance is caused to be presented via respective user interface devices to at least one of the first and second persons that proposes that the autonomous vehicle transport both the first and second persons to the destination. In response to receiving acceptance, a second route is generated for the autonomous vehicle that comprises picking up the first person at the first location, picking up the second person at the second location, and transporting both persons to the destination.

Interactive routing information between users

Technologies for providing real-time visualizations of a behavior of an autonomous vehicle (AV) associated with a ride request. In some examples, a method for providing real-time visualizations of a behavior of an AV associated with a ride request can include receiving a user request for a ride from an AV, wherein the user request specifies a pick-up location associated with a user; receiving data indicating a state and/or context of the AV while the AV is en route to the pick-up location; generating, based on the data indicating the state and/or context of the AV, one or more visual indicators of the state and/or context of the AV; and presenting, at a display interface, a map depicting the one or more visual indicators of the state and/or context of the AV, the state and/or context of the AV including a location of the AV and/or one or more AV operations.

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San Francisco, CA, United States of America

Bradley David Ryan