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. 09, 2024

Filed:

Apr. 21, 2022
Applicant:

Tanway Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Jiawei Shan, Beijing, CN;

Ruitong Zheng, Beijing, CN;

Shiwei Wang, Beijing, CN;

Luofeng Shen, Beijing, CN;

Hongpeng Li, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/50 (2006.01); G01S 17/89 (2020.01); G06T 7/90 (2017.01); G06T 17/00 (2006.01); G06V 10/56 (2022.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G01S 17/89 (2013.01); G06T 7/90 (2017.01); G06T 17/00 (2013.01); G06V 10/56 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/20221 (2013.01);
Abstract

An image fusion method based on image and LiDAR point cloud is provided. The method comprises: acquiring a first image and sparse point cloud data, point cloud data in each channel of the sparse point cloud data corresponding to pixels in the first image respectively, and the sparse point cloud data and the first image having space and time synchronicity; obtaining a target gradient value corresponding to at least one target pixel in the first image according to the first image, the target pixel being a non-edge pixel of the first image; up-sampling the sparse point cloud data based on at least one target gradient value to obtain dense point cloud data, the target gradient value being determined according to a corresponding target pixel between adjacent channels of the sparse point cloud data; and obtaining a target fusion image based on the first image and the dense point cloud data.


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