US Patent Issued to Bayerische Motoren Werke on Jan. 20 for "Computer-implemented method and system for learning-based anomaly detection in order to determine a software error in a networked vehicle" (German Inventors)

ALEXANDRIA, Va., Jan. 20 -- United States Patent no. 12,530,276, issued on Jan. 20, was assigned to Bayerische Motoren Werke AG (Munich).

"Computer-implemented method and system for learning-based anomaly detection in order to determine a software error in a networked vehicle" was invented by Alexander Frickenstein (Inning a. Ammersee, Germany) and Maik Kowol (Sankt Wolfgang, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, methods, and apparatuses are provided for learning-based anomaly detection to determine a software error in a networked vehicle. Trace lines are translated using a controller of the vehicle. A node list with weighted links is input into a graph neural network. Similarities ...