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:
Sep. 15, 2026

Filed:

Aug. 16, 2022
Applicant:

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

Inventors:

Xiao Zhang, Beijing, CN;

Fangfang Dong, Beijing, CN;

Guowei Wan, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); B60W 60/00 (2020.01); G01S 7/497 (2006.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); B60W 60/001 (2020.02); G01S 7/4972 (2013.01); B60W 2420/408 (2024.01);
Abstract

The disclosure provides a method for detecting an obstacle, an electronic device, and a storage medium, relates to the field of artificial intelligence, and in particular, to the field of automatic driving. A specific implementation solution includes: acquiring point cloud data collected by a lidar sensor during detection of an obstacle; converting the point cloud data into an obstacle feature map, where the obstacle feature map includes a to-be-detected image feature, and the to-be-detected image feature includes an obstacle feature; performing feature extraction on the to-be-detected image feature in the obstacle feature map to obtain the obstacle feature, increasing a weight value in the obstacle feature map of the obstacle feature during the feature extraction, and monitoring the feature extraction based on monitoring data generated by point cloud distribution data corresponding to the point cloud data; and determining a target obstacle according to the obstacle feature.


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