US Patent Issued to Zoox on June 17 for "Machine-learned model training for inferring object attributes from distortions in temporal data" (Washington Inventor)

ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,823, issued on June 17, was assigned to Zoox Inc. (Foster City, Calif.).

"Machine-learned model training for inferring object attributes from distortions in temporal data" was invented by Scott M. Purdy (Lake Forest Park, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for determining attributes associated with objects represented in temporal sensor data. In some examples, the techniques may include receiving sensor data including a representation of an object in an environment. The sensor data may be generated by a temporal sensor of a vehicle and, in some instances, a trajectory of the object or the vehicle may contribute to a dist...