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:
Nov. 01, 2022

Filed:

Apr. 19, 2019
Applicant:

Institute of Automation, Chinese Academy of Sciences, Beijing, CN;

Inventors:

Xin Zhao, Beijing, CN;

Kaiqi Huang, Beijing, CN;

Zhe Liu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/10 (2017.01); G06T 7/00 (2017.01); G06N 3/08 (2006.01); G06T 15/00 (2011.01);
U.S. Cl.
CPC ...
G06T 7/10 (2017.01); G06N 3/08 (2013.01); G06T 7/97 (2017.01); G06T 15/005 (2013.01); G06T 2207/10028 (2013.01); G06T 2210/12 (2013.01);
Abstract

A three-dimensional object detection method includes: extracting a target in a two-dimensional image by a pre-trained deep convolutional neural network to obtain a plurality of target objects; determining a point cloud frustum in a corresponding three-dimensional point cloud space based on each target object; segmenting the point cloud in the frustum based on a point cloud segmentation network to obtain a point cloud of interest; and estimating parameters of a 3D box in the point cloud of interest based on a network with the weighted channel features to obtain the parameters of the 3D box for three-dimensional object detection. According to the present invention, the features of the image can be learned more accurately by the deep convolutional neural network and the parameters of the 3D box in the point cloud of interest are estimated based on the network with the weighted channel features.


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