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:
Jan. 06, 2026
Filed:
Nov. 28, 2023
The Boeing Company, Arlington, VA (US);
Fan Hin Hung, Los Angeles, CA (US);
Deepak Khosla, Camarillo, CA (US);
Neale Ratzlaff, Los Angeles, CA (US);
Tameez Latib, Calabasas, GA (US);
Haden Smith, Guyton, GA (US);
Leon Nguyen, Santa Ana, CA (US);
The Boeing Company, Arlington, VA (US);
Abstract
Methods, apparatuses and systems of training a neural network using in a vision-based tracking system are disclosed. A two-dimensional (2D) image of at least a portion of an object is received via a camera that is fixed, relative to the object. Subsequently, a keypoint detector predicts a set of keypoints on the object in the 2D image, generating predicted 2D keypoints. These predicted 2D keypoints are then projected into three-dimensional (3D) space, and keypoint depth information is added to generate predicted 3D keypoints. To enhance the training process, a 3D model of the object is utilized. Known rotational and translational information of the object in the 2D image is incorporated to known 3D model keypoints, resulting in transformed 3D model keypoints. Following this, a comparison between predicted 3D keypoints and transformed 3D model keypoints is made to calculate a loss value. The training process is further refined using an optimizer, minimizing the loss value during a training period.