Gm Cruise Holdings LLC

Kunal Mehta

Curt Harrington

Devina Jain

Nikola John Linn Noxon

Wei Lu

Edward Henry Forscher

Nikola Noxon

Kelan Fitzgerald Stoy

Moorissa Meritseba Tjokro

Michael John Mehallow

Matthew Owen Pugh

Brent Valle

Ruixin Ge

Miles Avery Bowman

Adam Thomas Chase

Systems and methods for obtaining passenger feedback during an autonomous vehicle (AV) ride are provided. Feedback can be obtained in different forms during the passenger's ride. For instance, the passenger may opt-in to shadow the AV as it performs various driving behaviors. Input devices such as a tablet or joystick may be activated in the autonomous vehicle. A heuristic scene is selected and presented on the tablet, and the passenger can use the joystick to perform the maneuver as the AV is performing the same. The passenger's driving behavior does not alter the operation of the AV. Alternatively, the scene is different from the AV's route and the driving behaviors are not synced. Further, the passenger can be prompted to provide a response after specific maneuvers are performed by the AV. Feedback data is obtained and recorded from each passenger and then evaluated and compared to the AV's driving behaviors.

Become an AV test operator as a passenger

A method is described and includes acquiring sensor data produced by sensors of a plurality of vehicles traversing an area including a location of a user, wherein the vehicles traversing the area comprise a subset of a fleet of vehicles for providing rideshare services; processing the acquired sensor data to determine a category of the user; selecting a vehicle from the fleet of vehicles based on the category of the user, wherein the selected vehicle comprises at least one accommodation corresponding to the category of the user; and dispatching the selected vehicle to a pick-up location designated by the user.

Rideshare service fleet optimization using vehicle sensor data

A computer-aided method of comparing legal requirements, including: comparing a first legal requirement from a first jurisdiction to a second legal requirement from a second jurisdiction, including applying a natural language processing (NLP) algorithm to the first and second legal requirements; computing a distance between the first and second legal requirements; determining from the distance that the second legal requirement belongs to a same subject matter category as the first legal requirement; and providing a user interface (UI) to display the first and second legal requirements to a user, with the computed distance.

Natural language processing analysis of legal requirements

Various technologies described herein pertain to reserving seats in an autonomous vehicle. The autonomous vehicle includes a plurality of seats that can be occupied by passengers when riding in the autonomous vehicle. The autonomous vehicle is configured to assign a particular seat from the plurality of seats in the autonomous vehicle to a passenger based on information pertaining to the passenger and information pertaining to a ride-sharing trip. The autonomous vehicle is to transport at least the passenger and a differing passenger during at least a portion of the ride-sharing trip. Moreover, the passenger and the differing passenger independently request rides in the autonomous vehicle. The autonomous vehicle is further configured to output, to the passenger, an indication of the particular seat assigned to the passenger.

Autonomous vehicle seat reservation

An autonomous vehicle (AV) described herein is configured to receive a pull over location specified by a passenger, and is further configured to refine the pull over location based upon one or more factors, where the factors include computer-readable content from a profile of the passenger, sensor data output by sensor systems of the AV, observed or predicted weather conditions, observed or predicted traffic, and/or observations recently generated by other AVs that belong to the same fleet as the AV.

Updating a pick-up or drop-off location for a passenger of an autonomous vehicle

Growing community of inventors

San Francisco, CA, United States of America

Kunal Mehta