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:
Sep. 26, 2023

Filed:

Mar. 06, 2017
Applicant:

Panasonic Intellectual Property Corporation of America, Torrance, CA (US);

Inventors:

Kazuki Kozuka, Osaka, JP;

Yasunori Ishii, Osaka, JP;

Masahiko Saito, Osaka, JP;

Tetsuji Fuchikami, Osaka, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 20/58 (2022.01); G06N 3/045 (2023.01); G06V 30/19 (2022.01); G06V 10/44 (2022.01); G06V 40/10 (2022.01); G06N 3/08 (2023.01); G06N 5/04 (2023.01); G08G 1/16 (2006.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06V 10/454 (2022.01); G06V 20/58 (2022.01); G06V 30/19173 (2022.01); G06V 40/103 (2022.01); G08G 1/166 (2013.01); H04N 7/183 (2013.01);
Abstract

A risk prediction method is executed by a computer of a risk predictor using a convolutional neural network. The method includes making the convolutional neural network acquire an input image taken by an in-vehicle camera installed on a vehicle. The method also includes making the convolutional neural network estimate a risk area and a feature of the risk area, the risk area being in the acquired input image. The risk area has a possibility that a moving object may appear from the risk area into a travelling path of the vehicle, and the moving object may collide with the vehicle in a case where the vehicle simply continues running. The method further includes making the convolutional neural network output the estimated risk area and the estimated feature of the risk area as a risk predicted for the input image.


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