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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.

Patent No.:

US 11867801 B1

PDFFull Text
Date of Patent:
Jan. 09, 2024

Filed:

Jun. 22, 2021

Vehicle information detection method, method for training detection model, electronic device and storage medium

Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd, Beijing, CN;

Inventors:

Xiaoqing Ye, Beijing, CN;

Xiao Tan, Beijing, CN;

Hao Sun, Beijing, CN;

Assignee:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Attorney:

Banner & Witcoff, Ltd.

Primary Examiner:

Gregory M Desire

Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06K 9/00 (2022.01); G06K 9/68 (2006.01); G01S 13/931 (2020.01); G06T 7/521 (2017.01); G01S 13/42 (2006.01); G01S 13/86 (2006.01); G06N 3/08 (2023.01); G06T 7/60 (2017.01); G06V 20/52 (2022.01); G06V 30/24 (2022.01); G06F 18/214 (2023.01); G06F 18/25 (2023.01); G06F 18/21 (2023.01); G06V 10/25 (2022.01); G06V 10/80 (2022.01); G06V 10/44 (2022.01); G06V 10/98 (2022.01); G06V 20/54 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G01S 13/931 (2013.01); G01S 13/42 (2013.01); G01S 13/867 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/25 (2023.01); G06N 3/08 (2013.01); G06T 7/521 (2017.01); G06T 7/60 (2013.01); G06V 10/25 (2022.01); G06V 10/454 (2022.01); G06V 10/80 (2022.01); G06V 10/98 (2022.01); G06V 20/52 (2022.01); G06V 20/54 (2022.01); G06V 20/64 (2022.01); G06V 30/248 (2022.01); G06T 2207/10028 (2013.01); G06T 2207/30236 (2013.01); G06V 30/2552 (2022.01); G06V 2201/00 (2022.01); G06V 2201/08 (2022.01);
Abstract

A vehicle information detection method, a method for training a detection model, an electronic device and a storage medium are provided, and relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning. The method includes: performing a first target detection operation based on an image of a target vehicle, to obtain a first detection result for target information of the target vehicle; performing an error detection operation based on the first detection result, to obtain error information; and performing a second target detection operation based on the first detection result and the error information, to obtain a second detection result for the target information.

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