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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 11798228 B1

PDFFull Text
Date of Patent:
Oct. 24, 2023

Filed:

Mar. 30, 2021

Method for updating road signs and markings on basis of monocular images

Applicant:

Speed Technology Co., Ltd., Jiangsu, CN;

Inventors:

Zhongjian Xu, Jiangsu, CN;

Biliang Zhu, Jiangsu, CN;

Jun Li, Jiangsu, CN;

Assignee:

SPEED TECHNOLOGY CO., LTD., Jiangsu, CN;

Attorney:

JCIPRNET

Primary Examiner:

Tyler W Sullivan

Int. Cl.
CPC ...
G06T 7/50 (2017.01); G06V 10/46 (2022.01); G06V 20/10 (2022.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06V 10/26 (2022.01); G06V 10/48 (2022.01); G06V 10/82 (2022.01); G06N 3/10 (2006.01); G06T 7/194 (2017.01); G06T 17/05 (2011.01); G06T 7/70 (2017.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 17/05 (2013.01); G06N 20/00 (2019.01); G06T 5/002 (2013.01); G06T 5/006 (2013.01); G06T 7/11 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06V 10/26 (2022.01); G06V 10/267 (2022.01); G06V 10/462 (2022.01); G06V 10/48 (2022.01); G06V 10/82 (2022.01); G06V 20/176 (2022.01); G06N 3/10 (2013.01); G06T 7/194 (2017.01); G06T 2207/20084 (2013.01); G06T 2207/30256 (2013.01);
Abstract

A method for updating road signs and markings on the basis of monocular images comprises the following steps: acquiring street images of urban roads and GPS phase center coordinates and spatial attitude data corresponding to the street images; extracting coordinates of the road sign marking images; constructing a sparse three-dimensional model, and then generating a streetscape image depth map; calculating the space position of the road sign and marking according to the semantic and depth values of the image, the collinear equation and the space distance relation; if the same road sign and marking is visible in multiple views, solving the position information of the road sign; and vectorizing the obtained road sign position information, and fusing the information into the original data to realize the updating of the road sign data.

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