The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 12, 2026
Filed:
Feb. 23, 2024
Toyota Research Institute, Inc., Los Altos, CA (US);
Georgia Tech Research Corporation, Atlanta, GA (US);
Mayank Lunayach, Atlanta, GA (US);
Sergey Zakharov, Menlo Park, CA (US);
Dian Chen, Mountain View, CA (US);
Rares Ambrus, San Francisco, CA (US);
Zsolt Kira, Atlanta, GA (US);
Muhammad Zubair Irshad, Atlanta, GA (US);
TOYOTA RESEARCH INSTITUTE, INC., Los Altos, CA (US);
TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota, JP;
GEORGIA TECH RESEARCH CORPORATION, Atlanta, GA (US);
Abstract
Systems and methods are provided for implementing a multi-stage, ML model training process for autonomous or semi-autonomous driving. The multi-stage ML model training process comprises (1) 2D and 3D supervised losses during a synthetic data ML model training, (2) 2D supervised on real-world data, and (3) 3D self-supervised losses on real-world data. The improved ML training process may not rely on 3D object recognition with real-world 3D labeled data. Once the ML model is trained, in some examples, the trained ML model can implement an inference process to predict the 3D shape, size, and 6D pose of objects within a single image, operate at a category level, and eliminate the need for computer-aided design (CAD) models during inference.