Gm Cruise Holdings LLC

Theresa Foy

Livia Johanna

MinJie Tong

Christopher Warren

David J Shuckerow

Leah Meyerholtz

Qingxuan Li

Hailun Zhou

Stephanie Olivia Engle

Jessica Leary

Bharatkumar Patel

Kendal Sparks

Tal Benisty

Soleil Phan

Vinayaka Dattatraya

McKenna Morey

Bridget Collins

Yosser Andres D'Avanzo

Jyothi Babu Araja

Daniel Paul Thengvall

Steven Sturkop

There is disclosed a method of operating an autonomous vehicle (AV), including: detecting an alert condition within the AV via data from an electronic sensor suite of the AV; based at least in part on detecting the alert condition, automatically initiating a call with another party; and communicatively coupling a passenger of the AV to the call, whereby the passenger can communicate with the other party via the call.

Human assisted live operations systems and methods

There is disclosed a method of operating an autonomous vehicle (AV), including: detecting an alert condition within the AV via data from an electronic sensor suite of the AV; based at least in part on detecting the alert condition, automatically initiating a call with another party; and communicatively coupling a passenger of the AV to the conference call, whereby the passenger can communicate with the other party via the conference call.

Assistance can be provided to users of AVs based on user sentiments. A system may receive a request for assistance from a user of an AV (e.g., a passenger of the AV). The system may also receive sensor data that is captured by a sensor suite of the AV from detecting the user, the AV, or another object. The system determines a sentiment of the user based on the sensor data. The system may input the sensor data into a machine learning model and the model outputs information indicating the user's sentiment. The system can determine who, when, or how to service the user's request based on the user's sentiment. The system may assign the user's request to an agent who can provide the assistance. The system can further provide guidance (e.g., suggested content of a conversation with the user) to the agent based on the user's sentiment.

System and method for providing support to user of autonomous vehicle (AV) based on sentiment analysis

There is disclosed a method of providing rider service for an autonomous vehicle (AV) system, including operating an AV to provide a trip to a passenger; associating the passenger with a unique passenger identifier (UPID); receiving passenger metadata for the passenger according to the UPID; and responding to a rider service instance, comprising customizing the response according to the UPID and the passenger metadata.

Personalized customer service for ridehail vehicle passengers

Assistance can be provided to AV users through projection of graphical figures. A system may receive a request for assistance from a user of an AV. The system assigns the request to an agent who can assist the user. The system further provides a graphical representation (e.g., an avatar) of the agent to a device that can project the graphical representation to the user. The user can have a conversation with the graphical representation, e.g., based on information provided by the agent. The system can also provide an audio filter to the device for modifying an audio content presented by the device so that the modified audio content appears as if it is made by the graphical representation. The device may be a part of the AV or a client device of the user that can present VR, AR, or MR content. The device may be mobile.

System and method for using virtual figures to support users of autonomous vehicles

An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include navigating the AV to a drop-off location associated with a user in the AV, receiving sensor data from sensors associated with the AV, determining, based on the sensor data, an orientation of the user in the AV and a location of the AV relative to a final destination of the user, generating a recommendation for how to exit the AV at the drop-off location based on the orientation of the user in the AV and the location of the AV relative to the final destination of the user, and providing the recommendation via a display, a speaker, a light-emitting device, and/or a client device, the recommendation including a visual indication of an exit direction or an AV door to use to exit the AV, audio instructions for exiting the AV, and/or visual exit instructions.

Autonomous vehicle rider drop-off to destination experience

An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include receiving, by an autonomous vehicle (AV), a ride service request from a user, the ride service request specifying a pick-up location, a pick-up time, and a destination of a trip associated with the ride service request; navigating the AV to the pick-up location; providing the user a recommendation for where to sit within the AV, the recommendation being based on at least one of the destination of the trip, a drop-off location associated with the trip, environment conditions associated with the drop-off location, and an estimated egress location; receiving sensor data from one or more sensors associated with the AV; determining, based on the sensor data and the drop-off location, a pull-over location for dropping off the user; and navigating the AV to the pull-over location.

Growing community of inventors

San Francisco, CA, United States of America

Theresa Foy