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:
Dec. 18, 2018

Filed:

Dec. 27, 2016
Applicant:

Automotive Research & Testing Center, Changhua County, TW;

Inventors:

Kuo-Ching Chang, Changhua County, TW;

Chuan-Ren Li, Changhua County, TW;

Zhen-Wei Zhu, Changhua County, TW;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 1/20 (2006.01); G06T 7/70 (2017.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06T 1/20 (2013.01); G06K 9/00369 (2013.01); G06K 9/00973 (2013.01); G06K 9/4642 (2013.01); G06K 9/628 (2013.01); G06T 7/70 (2017.01); G06T 2200/28 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30261 (2013.01);
Abstract

A hierarchical system for detecting an object with parallel architecture and a hierarchical method thereof is disclosed. The system includes at least one image-retrieving device retrieving at least an image and searching a plurality of obstacle position images in it. The image-retrieving device is electrically connected with an image-processing device to receive the obstacle position images transmitted by the image-retrieving device, uses parallel architecture classification to obtain at least one object image and a plurality of cropping frames thereof from the obstacle position images, synchronously separates the cropping frames to retrieve characteristic values of each cropping frame, uses convolutional neural network to simultaneously recognize the characteristic values of each cropping frame, and searches and outputs the correct cropping frame from the object image, thereby immediately detecting the object outside a vehicle and obtaining the cropping frame of the object to avoid detection error.


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