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:
Apr. 10, 2012

Filed:

Jun. 13, 2008
Applicants:

Koichi Nakao, Okazaki, JP;

Masaki Nakamura, Okazaki, JP;

Tomoaki Ishikawa, Osazaki, JP;

Motoki Kanba, Okazaki, JP;

Osamu Aisaka, Okazaki, JP;

Inventors:

Koichi Nakao, Okazaki, JP;

Masaki Nakamura, Okazaki, JP;

Tomoaki Ishikawa, Osazaki, JP;

Motoki Kanba, Okazaki, JP;

Osamu Aisaka, Okazaki, JP;

Assignee:

Aisin AW Co., Ltd., Anjo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/36 (2006.01);
U.S. Cl.
CPC ...
Abstract

Vehicle-position-recognition apparatuses, methods, and programs acquire current position information indicating a current position of a vehicle and acquire road information indicating at least one road based on a connection relationship between plural links. The apparatuses, methods, and programs determine a link where the vehicle travels based on the current position information and the road information and generate travel-history information indicating a route that the vehicle travels at a point where a link is branched based on the determined link. The apparatuses, methods, and programs acquire an image of an area surrounding the vehicle, recognize a recognition target in the acquired image, and store the generated travel-history information in the memory in association with information indicating the recognition of the recognition target. The apparatuses, methods, and programs generate learning-priority information indicating a priority of each link branched out at the branch point based on the stored travel-history information and the stored recognition information, the generated learning-priority information usable to determine on which of the links branched out at the branch point that the vehicle is traveling.


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