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. 15, 2024

Filed:

Dec. 29, 2021
Applicant:

Xi'an Creation Keji Co., Ltd., Xi'an, CN;

Inventors:

Chen Liu, Xi'an, CN;

Yu Zuo, Xi'an, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/56 (2022.01); G06V 10/75 (2022.01); G06V 10/762 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); H04L 12/40 (2006.01);
U.S. Cl.
CPC ...
G06V 20/588 (2022.01); G06V 10/75 (2022.01); G06V 10/762 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06V 10/95 (2022.01); H04L 12/40 (2013.01); H04L 2012/40273 (2013.01);
Abstract

A method of road detection based on Internet of Vehicles is provided, the method is applied to vehicle terminals and includes: obtaining a target road image captured by an image collection terminal and inputting it into an improved YOLOv3 network, performing feature extraction by using backbone network of dense connection to obtain feature images with different scales; performing feature fusion of top-to-down and dense connection to the feature images by using an improved feature pyramid networks (FPN) to obtain prediction results; obtaining attribute information of the target road image according to the prediction results; the attribute information includes positions and categories of objects in the target road image; the improved YOLOv3 is formed by based on YOLOv3 network, replacing residual modules of backbone network to dense connection modules, increasing feature extraction scale, optimizing feature fusion mode of FPN, performing pruning and performing network recovery processing guided by knowledge distillation.


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