ALEXANDRIA, Va., March 19 -- United States Patent no. 12,252,139, issued on March 18, was assigned to Toyota Research Institute Inc. (Los Altos, Calif.) and Toyota Jidosha K.K. (Toyota, Japan).
"Systems and methods for neural ordinary differential equation learned tire models" was invented by Yan Ming Jonathan Goh (Palo Alto, Calif.) and Franck Djeumou (Palo Alto, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "System, methods, and other embodiments described herein relate to NODE learned tire models. In one embodiment, a method includes calculating estimated tire forces based on vehicle measurements; solving a second order differential equation in a repetitive manner until an error calculation based o...