Aurora Operations, Inc.

Yuchen Xie

Ethan Eade

Daniel Munoz

Karthik Lakshmanan

Samuel Sean

Jake Charland

Luona Yang

A method may include obtaining sensor data that include a plurality of sensor returns from an environment of an autonomous vehicle. A first set of features may be extracted from the sensor data. The first set of features may be processed with a machine learning model to generate, for at least a subset of the plurality of sensor returns, a first output that classifies a respective sensor return as corresponding to an object or non-object and a second output that indicates a property of the object. The sensor returns classified as corresponding to objects may be compared to a plurality of pre-classified objects to generate one or more generic object classifications. The autonomous vehicle may be controlled based at least in part on the one or more generic object classifications.

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Cupertino, PA, United States of America

Yuchen Xie