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. 07, 2017

Filed:

Jul. 26, 2013
Applicants:

Nissan Motor Co., Ltd., Yokohama-shi, Kanagawa, JP;

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

Inventors:

Yasuhisa Hayakawa, Yokohama, JP;

Osamu Fukata, Commerce Township, MI (US);

Masayuki Takemura, Hitachi, JP;

Akira Utagawa, Hitachinaka, JP;

Shoji Muramatsu, Hitachi, JP;

Kota Irie, Sagamihara, JP;

Assignees:

Nissan Motor Co., Ltd., Yokohama, JP;

Clarion Co., Ltd., Saitama, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/18 (2006.01); G06K 9/00 (2006.01); B60R 1/00 (2006.01); G06T 7/00 (2006.01); H04N 5/232 (2006.01); H04N 5/217 (2011.01); H04N 101/00 (2006.01); G06K 9/20 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
H04N 7/188 (2013.01); B60R 1/00 (2013.01); G06K 9/00201 (2013.01); G06T 7/0042 (2013.01); G06T 7/0083 (2013.01); G06T 7/0085 (2013.01); H04N 5/217 (2013.01); H04N 5/232 (2013.01); B60R 2300/607 (2013.01); B60R 2300/8026 (2013.01); G03B 2217/005 (2013.01); G06K 9/00805 (2013.01); G06K 9/2027 (2013.01); G06K 9/4604 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20148 (2013.01); G06T 2207/30261 (2013.01); H04N 2101/00 (2013.01);
Abstract

A three-dimensional object detection device has an image capturing unit, an object detection unit, first and second edge intensity calculation units, a day/night assessment unit and a controller. The day/night assessment unit assess whether it is currently daytime or nighttime when detecting a three-dimensional object based on the captured images. Upon assesses it is daytime, edges of a subject are extracted from a first edge extraction area, including a horizon reference area, and a threshold value for detecting the three-dimensional object is set based on the intensity of the edges in the first edge extraction area. Upon assesses it is nighttime, the edges of a subject are extracted from a second edge extraction area, including a road edge reference area, and a threshold value for detecting the three-dimensional object is set based on the intensity of the edges that are extracted from the second edge extraction area.


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