Uber Technologies, Inc.

Gm Cruise Holdings LLC

Nathan Falk

Brent Justin Goldman

Mark Yen

Shenglong Gao

Zhe Liu

Aaron Matthew Crum

Moshe Oron

Manuel Birke

Yifan Liu

Anirudh Srinivas

Adrian Caceres

A vehicle network logging system (VNLS) is described and includes a logger for storing data associated with events, wherein for each of the events, the associated data is created when a trigger associated with the event is received at the VNLS; and a compute node for, for each of the events, subsequent to occurrence of creation of data associated with the event, identifying a data tier for the event, the identified data tier selected from a plurality of data tiers of the VNLS and defined by the trigger associated with the event; and logging the data for the event to an internal disk of the VNLS in the identified data tier, wherein the identified data tier specifies an offload policy and a deletion policy for the data.

Data classification for vehicle network logger system

A computer-implemented method for relaxing queries on a queried connection graph can include obtaining, by a computing system including one or more computing devices, a connected graph. The computer-implemented method can include evaluating, by the computing system, a first set of connected components of the connected graph with respect to a first query set. The first query set can include one or more query criteria. The query criteria can include one or more attributes associated with operating an autonomous vehicle. The computer-implemented method can include determining, by the computing system, one or more relaxed query sets based at least in part on the first query set. The computer-implemented method can include evaluating, by the computing system, a second set of connected components of the connected graph with respect to the one or more relaxed query sets, the connected graph being associated with autonomous vehicle operation within a geographic area.

Systems and methods for improved and expanded autonomous vehicle operation

Systems and methods for autonomous vehicle operations are provided. An example computer-implemented method includes obtaining data indicative of vehicle fleet feature(s) associated with an autonomous vehicle fleet. The method includes obtaining data indicative of a vehicle service request associated with a user, the vehicle service request indicating a request for a vehicle service. The method includes determining user feature(s) associated with the user. The method includes determining a compatibility of the user and the autonomous vehicle fleet for the vehicle service based at least in part on the fleet feature(s) and the user feature(s). Determining the compatibility can include predicting how the autonomous vehicle fleet will perform the vehicle service associated with the vehicle service request based at least in part on the fleet's autonomy capabilities. The method includes communicating data associated with the vehicle service request to a computing system associated with the autonomous vehicle fleet.

Systems and methods for selective autonomous vehicle ridership and control

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Nathan Falk