Gm Cruise Holdings LLC

Robin Yang

John Logan Anderson

Bradley David Ryan

Lucio Otavio Marchioro Rech

Brian Donohue

Jeremy Allan

Jessica Leary

Michael Magnoli

Andrew Robinson

Christopher Fry

Jonathon Staff

Josh Berlin

Stanley Shiao

Max Meyers

Kavya Sambana

Pratik Patel

Erin Antcliffe

Teresa Lin

Chau-Yan Wang

Divya Thakur

Jiajian Zhou

Jackie Shannon

Jun Zhou

Alex Van Dorn

The subject disclosure relates to techniques for real-time lane validation. A process of the disclosed technologies can include steps for receiving a route from a remote computing system, the route indicating lanes on the route that an autonomous vehicle must traverse, traversing at least one lane of the lanes on the route, and sending sensor data to the remote computing system after traversing the at least one lane, the sensor data indicating whether the at least one lane is in accordance with a virtual lane of a virtual map, the virtual lane corresponding to the at least one lane.

System and method for real-time lane validation

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

The subject disclosure relates to ways to authenticate a rider/user of an autonomous vehicle (AV) using biometric data, such as facial recognition. A process of the disclosed technology can facilitate the automatic unlocking of an AV by performing steps that include: receiving a dispatch request associated with a user identifier (ID), receiving a recognition model that corresponds with the user ID, and receiving an image stream including images of pedestrian faces. In some aspects, the process can further include steps for: providing the images to the recognition model, and determining if a user represented in the images corresponds with the user ID. Systems and machine-readable media are also provided.

Unlocking vehicle doors with facial recognition

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.

Growing community of inventors

San Francisco, CA, United States of America

Robin Yang