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:
Oct. 20, 2026

Filed:

Oct. 10, 2024
Applicant:

Chang'an University, Xi'an, CN;

Inventors:

Zhanwen Liu, Xi'an, CN;

Yang Wang, Xi'an, CN;

Xing Fan, Xi'an, CN;

Shan Lin, Xi'an, CN;

Juanru Cheng, Xi'an, CN;

Yuande Jiang, Xi'an, CN;

Chao Li, Xi'an, CN;

Bolin Gao, Xi'an, CN;

Yi He, Xi'an, CN;

Jin Fan, Xi'an, CN;

Nan Yang, Xi'an, CN;

Assignee:

CHANG'AN UNIVERSITY, Xi'an, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2017.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); G06T 7/11 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A 3D target detection method based on multimodal fusion and a depth attention mechanism includes the following steps: obtaining and preprocessing original point cloud data and original image data; inputting the preprocessed point cloud data and image data into a 3D target detection network based on multimodal fusion and the depth attention mechanism, where the 3D target detection network based on multimodal fusion and the depth attention mechanism includes a generation phase for 3D bounding box proposals and a refinement phase for 3D bounding boxes, and the network outputs parameters and classification confidence of a target bounding box; training the 3D target detection network based on multimodal fusion and the depth attention mechanism; and processing the collected lidar point cloud data and image data by using the trained detection network, and outputting 3D target information, to realize 3D target detection.


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Liu, Zhanwen. (2026). Three-dimensional target detection method based on multimodal fusion and depth attention mechanism (U.S. Patent No. 12770287). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12770287

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