ALEXANDRIA, Va., July 3 -- United States Patent no. 12,347,209, issued on July 1, was assigned to ZENSEACT AB (Gothenburg, Sweden).

"Training of 3D lane detection models for automotive applications" was invented by Mina Alibeiginabi (Gothenburg, Sweden), Erik Brorsson (Gothenburg, Sweden), Silas Ulander (Lerum, Sweden) and Benjamin Waubert (Gothenburg, Sweden).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present invention relates to a method for training artificial neural network configured for 3D lane detection based on unlabelled image data from camera. The method includes generating a first set of 3D lane boundaries in first coordinate system based on first image, generating a second set of 3D lane b...