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. 01, 2024

Filed:

Oct. 25, 2023
Applicant:

Zhejiang Lab, Zhejiang, CN;

Inventors:

Qian Huang, Hangzhou, CN;

Zhifeng Zhao, Hangzhou, CN;

Yongdong Zhu, Hangzhou, CN;

Yuntao Liu, Hangzhou, CN;

Assignee:

ZHEJIANG LAB, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/80 (2022.01); G06T 7/73 (2017.01); G06V 10/24 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/806 (2022.01); G06T 7/73 (2017.01); G06V 10/247 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/30261 (2013.01);
Abstract

The present application discloses a visual enhancement method and a system based on fusion of spatially aligned features of multiple networked vehicles. The method utilizes the visual features of networked vehicles themselves and their surroundings within a certain range, and performs feature fusion after spatial alignment to realize visual expansion and enhancement. After receiving the compressed intermediate feature map of the networked vehicles in a certain range around, the decompressed intermediate feature map is subjected to affine transformation, and the transformed aligned feature map is subjected to feature fusion based on a designed multi-feature self-learning network, so as to realize the complementation and enhancement among features while removing redundant features. The fused intermediate features are used to detect the target obstacles from the perspective of the networked vehicle itself and partially or completely blocked, thus improving the safety of driving connected vehicles.


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