Zoox, Inc.

Eric Yan Tin Chu

Deepan Subrahmanian Palguna

Andrew Glen Tsao

Prateek Chandresh Shah

Antonio Prioletti

Xiaosi Zeng

Clement Besson

Robert Jonathan Crane

Wentao Zhong

John Connelly Kegelman

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

Techniques for analyzing driving scenarios are discussed herein. For example, techniques may include determining, based at least in part on log data representing a scenario of the vehicle operating in an environment, a plurality of frames of the scenario. For individual frames, the techniques may determine a respective set of discrete areas of the environment based on a respective position of the vehicle in the frame, determine a respective set of labels for the discrete areas for the individual frame, determine respective agent feature values of agent features for agents in individual discrete areas of the discrete areas of the individual frame, and determine a feature vector for the scenario by aggregating agent feature values of the individual frames based on the labels for the discrete areas for the frame. An action may then be performed based at least in part on the feature vector.

Determining scene similarity

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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San Jose, CA, United States of America

Eric Yan Tin Chu