ALEXANDRIA, Va., Dec. 23 -- United States Patent no. 12,503,140, issued on Dec. 23, was assigned to GM Global Technology Operations LLC (Detroit).
"Hybrid data-driven actor prediction using reachable sets and supervised learning" was invented by Daniel Aguilar Marsillach (Chicago) and Rouhollah Sayed Jafari (Troy, Mich.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for predicting an actor occupancy corridor includes receiving input data, predicting an occupancy sets of the actor using reachability analysis and the input data, determining an occupancy corridor constraints of the actor using a machine learning model and the input data, and determining an occupancy corridor of the actor using the occu...