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. 13, 2020

Filed:

Mar. 07, 2018
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Xiaoyi Zou, Beijing, CN;

Dongming Chen, Beijing, CN;

Hao Wang, Beijing, CN;

Ji Wan, Beijing, CN;

Tian Xia, Beijing, CN;

Liang Wang, Beijing, CN;

Shixi Chen, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/521 (2017.01); G01S 13/86 (2006.01); G06T 7/70 (2017.01); G01S 17/42 (2006.01); G01S 7/48 (2006.01); G06T 7/73 (2017.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); G01S 7/4808 (2013.01); G01S 13/86 (2013.01); G01S 17/42 (2013.01); G01S 17/931 (2020.01); G06K 9/00201 (2013.01); G06T 7/521 (2017.01); G06T 7/70 (2017.01); G06T 7/74 (2017.01); G06T 2200/04 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30261 (2013.01);
Abstract

The present disclosure provides an obstacle detecting method and apparatus, a device and a storage medium, wherein the method comprises: obtaining a 3D point cloud collected by an unmanned vehicle during travel; projecting the 3D point cloud on a 2-dimensional grid to respectively obtain feature information of each grid; inputting the feature information of each grid into a pre-trained prediction model to respectively obtain obstacle prediction parameters of each grid; performing grid clustering according to the obstacle prediction parameters of each grid to obtain obstacle detection results. The solutions of the present disclosure can be applied to improve the accuracy of detection results.


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