US Patent Issued to Zoox on May 26 for "Cross-attention prediction model using dynamic token resolution based on sensor data and/or map data" (California Inventor)

ALEXANDRIA, Va., May 26 -- United States Patent no. 12,639,846, issued on May 26, was assigned to Zoox Inc. (Foster City, Calif.).

"Cross-attention prediction model using dynamic token resolution based on sensor data and/or map data" was invented by Ethan Miller Pronovost (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A transformer-based machine-learned model may predict object behavior by using cross-attention between dynamically-sized patches of a top-down representation of the environment and an object location and/or previous behavior. A patch's size may be based at least in part on map data and/or sensor data and a portion of the top-down representation associated with an area of t...