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.

Date of Patent:
Apr. 21, 2025

Filed:

Aug. 24, 2022
Applicant:

Hon Hai Precision Industry Co., Ltd., New Taipei, TW;

Inventors:

Chieh Lee, New Taipei, TW;

Chih-Te Lu, New Taipei, TW;

Chin-Pin Kuo, New Taipei, TW;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2016.12); G06T 7/50 (2016.12); G06V 10/764 (2021.12); G06V 10/77 (2021.12); G06V 10/772 (2021.12); G06V 10/774 (2021.12); G06V 10/94 (2021.12); G06V 20/58 (2021.12); G06V 20/64 (2021.12);
U.S. Cl.
CPC ...
G06V 20/653 (2021.12); G06T 7/50 (2016.12); G06T 7/70 (2016.12); G06V 10/764 (2021.12); G06V 10/7715 (2021.12); G06V 10/772 (2021.12); G06V 10/774 (2021.12); G06V 10/95 (2021.12); G06V 20/58 (2021.12); G06T 2207/10028 (2012.12); G06T 2207/20081 (2012.12); G06T 2207/30252 (2012.12);
Abstract

A method for detecting three-dimensional (3D) objects in relation to autonomous driving is applied in an electronic device. The device obtains detection images and depth images, =inputs the detection images into a trained object detection model to determine categories of objects in the detection images and two-dimensional (2D) bounding boxes of the objects. The device determines object models of the objects and 3D bounding boxes of the object models according to the object categories, and calculates point cloud data of the objects selected and distances from the depth camera to the object models. The device determines angles of rotation of the object models of the objects according to the object models of the objects and the point cloud data, and can determine respective positions of the objects in 3D space according to the distance from the depth camera to the object models, the rotation angles, and the 3D bounding boxes.


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