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. 10, 2019

Filed:

Dec. 08, 2017
Applicants:

Denso Corporation, Kariya, Aichi-pref., JP;

Toyota Jidosha Kabushiki Kaisha, Toyota-shi, Aichi-ken, JP;

Inventors:

Hirotake Ishigami, Kariya, JP;

Toshihiko Terada, Kariya, JP;

Hiroaki Ito, Toyota, JP;

Assignees:

DENSO CORPORATION, Kariya, Aichi-pref., JP;

TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota-shi, Aichi-pref., JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/593 (2017.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01); B60R 1/00 (2006.01); H04N 13/128 (2018.01); G01B 11/00 (2006.01); G08G 1/16 (2006.01); G06K 9/62 (2006.01); G08G 1/0962 (2006.01); H04N 13/239 (2018.01); H04N 13/00 (2018.01); B60S 1/04 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); B60R 1/00 (2013.01); G01B 11/00 (2013.01); G06K 9/621 (2013.01); G06T 7/0002 (2013.01); G06T 7/593 (2017.01); G06T 7/73 (2017.01); G08G 1/0962 (2013.01); G08G 1/16 (2013.01); H04N 13/128 (2018.05); H04N 13/239 (2018.05); B60R 2300/103 (2013.01); B60R 2300/107 (2013.01); B60R 2300/304 (2013.01); B60R 2300/8093 (2013.01); B60S 1/04 (2013.01); G06T 2207/10021 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30261 (2013.01); G08G 1/165 (2013.01); G08G 1/166 (2013.01); H04N 2013/0081 (2013.01);
Abstract

In an object detection device, a distance image generation part generates a distance image based of a pair of brightness images transmitted from a stereo camera. A road surface estimation part estimates a road surface based on the generated distance image. An object detection part groups together positions having a distance value located on/over the estimated road surface and satisfying a predetermined relationship, and detects an object based on the grouped positions. An abnormality detection part detecting occurrence of image abnormality in the brightness image captured during a current detection period. The road surface estimation part estimates the road surface at the current detection period based on the road surface estimated at the previous detection period when the abnormality detection part detects the occurrence of image abnormality in the brightness image captured during the current detection period.


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