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:
Feb. 24, 2026

Filed:

Apr. 03, 2023
Applicant:

University of Science and Technology Beijing, Beijing, CN;

Inventors:

Huimin MA, Beijing, CN;

Haizhuang Liu, Beijing, CN;

Yilin Wang, Beijing, CN;

Rongquan Wang, Beijing, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/80 (2022.01); G06T 5/70 (2024.01); G06T 7/73 (2017.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06V 10/803 (2022.01); G06T 5/70 (2024.01); G06T 7/73 (2017.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/806 (2022.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Disclosed are a multimodal weakly-supervised three-dimensional (3D) object detection method and system, and a device. The method includes: shooting multiple two-dimensional (2D) red, green and blue (RGB) images with a camera, acquiring ground points by a vehicle LiDAR sensor and generating a 3D frustum based on 2D box labels on each of the 2D RGB images; filtering ground points in the 3D frustum and selecting a region with most 3D points; generating a 3D pseudo-labeling bounding box of an object according to the region with the most 3D points; training a multimodal superpixel dual-branch network with the 3D pseudo-labeling bounding boxes as labels and the 2D RGB image and the 3D point cloud as inputs; and inputting a 2D RGB image of a current frame and a 3D point cloud of a current scenario to a trained multimodal superpixel dual-branch network to generate an overall 3D point cloud.


Find Patent Forward Citations

MA, Huimin. (2026). Multimodal weakly-supervised three-dimensional (3d) object detection method and system, and device (U.S. Patent No. 12561961). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12561961

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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