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:
Jul. 28, 2026

Filed:

Sep. 11, 2023
Applicant:

Kabushiki Kaisha Toshiba, Tokyo, JP;

Inventors:

Akihide Sai, Yokohama Kanagawa, JP;

Hisaaki Katagiri, Kawasaki Kanagawa, JP;

Satoshi Kondo, Kawasaki Kanagawa, JP;

Tuan Thanh Ta, Kawasaki Kanagawa, JP;

Yutaka Ota, Yokohama Kanagawa, JP;

Toshiki Sugimoto, Kawasaki Kanagawa, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 17/894 (2020.01); G01S 17/89 (2020.01); G06T 5/20 (2006.01); G06T 5/70 (2024.01); G06T 5/94 (2024.01); G06T 7/215 (2017.01); G06T 7/521 (2017.01); G06T 11/00 (2026.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G01S 17/894 (2020.01); G01S 17/89 (2013.01); G06T 5/20 (2013.01); G06T 5/70 (2024.01); G06T 5/94 (2024.01); G06T 7/215 (2017.01); G06T 7/521 (2017.01); G06T 11/00 (2013.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 20/64 (2022.01); G06T 2207/10028 (2013.01);
Abstract

An image processing apparatus comprises processing circuitry, and the processing circuitry is configured to detect light intensity data including at least one of a reflected light intensity of light reflected on an object or an ambient light intensity based on a reception signal corresponding to a reflected light from the object, generate a two-dimensional image based on the light intensity data, recognize the object in the two-dimensional image, generate three-dimensional data by detecting a distance to the object based on the reception signal, and classify the three-dimensional data into one or more clusters based on the recognized object and the distance to the detected object.


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