ALEXANDRIA, Va., Sept. 17 -- United States Patent no. 12,416,730, issued on Sept. 16, was assigned to Zoox Inc. (Foster City, Calif.).
"Object detection and tracking using machine learning transformer models with attention" was invented by Francesco Papi (Oakland, Calif.), John Bryan Carter (Upton, Mass.), Yunming Shao (Fremont, Calif.) and Qian Song (San Francisco).
According to the abstract* released by the U.S. Patent & Trademark Office: "Object detection and tracking systems may use machine-learned transformer models with self-attention for detecting, classifying, and/or tracking objects in an environment. Techniques described herein may include receiving sensor data generated by different sensor modalities of a vehicle, determining d...