Gm Cruise Holdings LLC

Devina Jain

Curt Harrington

Kunal Mehta

Nikola John Linn Noxon

Wei Lu

Edward Henry Forscher

Kelan Fitzgerald Stoy

Nikola Noxon

Michael John Mehallow

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

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

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San Francisco, CA, United States of America

Devina Jain