Zoox, Inc.

Deepan Subrahmanian Palguna

Andrew Glen Tsao

Prateek Chandresh Shah

Antonio Prioletti

Xiaosi Zeng

Clement Besson

Eric Yan Tin Chu

Robert Jonathan Crane

Wentao Zhong

John Connelly Kegelman

Rishi Bhatnager

Paul Syta

Adam Kane Wiener

Techniques associated with ingesting data based on the catalog are discussed herein. In some examples, log data associated with a vehicle in an environment can be received. The log data can include at least one of location data, state data, or prediction data. A sequence of data can be identified as corresponding to a driving sequence based on a set of rules. An identification of the driving sequence involving the vehicle in the environment can be associated with the sequence of data in a database. An inquiry for retrieving the sequence of data or information associated with the driving sequence can be received. In response to the inquiry, the sequence of data or information associated with the driving sequence can be returned.

Systems and methods for ingesting data based on predefined driving sequences

Systems and techniques for determining and predicting the operational capacity of a fleet of vehicles are described. Data may be collected for various fleet parameters (e.g., based on vehicle and fleet operations) and distributions of such data may be used to determine rates of change for the parameters. Predicted distributions of the fleet parameters may be determined based on historical parameter distributions and/or predicted distributions and the corresponding rates of change. Fleet operational capacity determinations may be made based on these parameter distributions, including probability distributions of predicted fleet operational capacity measurements.

Systems and methods for determining fleet capacity

Techniques for generating simulations to evaluate an update to a controller. The controller may be configured to control one or more functionalities of an autonomous and/or a semi-autonomous vehicle. A simulation computing system may receive a request to evaluate a first controller. The simulation computing system may generate a simulation based on data associated with a previous operation of the vehicle in an environment, the previous operation being controlled by a second controller (e.g., standard for evaluation, control version, etc.). The simulation computing device may cause the first controller to control a simulated vehicle in the simulation and may determine whether to validate the update to the controller based on a difference between first metrics associated with a control of the simulated vehicle by the first controller and second metrics associated with a control of the vehicle by the second controller.

Vehicle controller validation

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Santa Clara, CA, United States of America

Deepan Subrahmanian Palguna