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:
Mar. 20, 2018

Filed:

Nov. 27, 2013
Applicant:

Clarion Co., Ltd., Saitama-shi, Saitama, JP;

Inventors:

Masahiro Kiyohara, Tokyo, JP;

Takehito Ogata, Tokyo, JP;

Satoshi Suzuki, Yokohama, JP;

Shoji Muramatsu, Tokyo, JP;

Assignee:

Clarion Co., Ltd., Saitama-shi, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); B60R 1/00 (2006.01); G06K 9/46 (2006.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00812 (2013.01); B60R 1/00 (2013.01); G06K 9/00791 (2013.01); G06K 9/46 (2013.01); G06K 2009/4666 (2013.01); H04N 7/18 (2013.01);
Abstract

An on-vehicle image processing apparatus includes: a photographing device configured to photograph a road surface around a vehicle; an image creation section configured to create an overhead view image showing a periphery of the vehicle when looked down from above the vehicle, based on the obtained photographed image; an extraction section configured to extract a road surface sign around the vehicle by using the created overhead view image; a detection section configured to detect one or more noises among at least a road surface noise, an obstruction noise, and an attached substance noise that are to be observed when the extraction section extracts the road surface sign; and a parking frame recognition section configured to recognize a parking frame based on one of a partial photographing region in the photographed image and a partial overhead view region in the overhead view image, depending on the detected noise.


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