US Patent Issued to Zoox on Feb. 17 for "Sensor anomaly detection using machine-learned attention over spatiotemporally encoded sensor data" (California Inventors)

ALEXANDRIA, Va., Feb. 17 -- United States Patent no. 12,554,266, issued on Feb. 17, was assigned to Zoox Inc. (Foster City, Calif.).

"Sensor anomaly detection using machine-learned attention over spatiotemporally encoded sensor data" was invented by Michael Carsten Bosse (Templeton, Calif.) and Jackson Owen Waschura (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Detecting a sensor anomaly may include encoding spatiotemporal data associated with one or more sensors. A first machine-learned model may generate an embedding for a subset of sensor data associated with a ray emanating from a sensor and the embedding may be encoded with spatial characteristics of the sensor that received the ...