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:
Nov. 15, 2022

Filed:

Jan. 31, 2019
Applicant:

Clarion Co., Ltd., Saitama, JP;

Inventors:

Hiroaki Kokubo, Saitama, JP;

Norio Watarai, Saitama, JP;

Kazunori Nakayama, Saitama, JP;

Assignee:

CLARION CO., LTD., Saitama, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 40/09 (2012.01); B60W 50/14 (2020.01); G10L 15/06 (2013.01); G10L 15/10 (2006.01); G10L 25/63 (2013.01);
U.S. Cl.
CPC ...
B60W 40/09 (2013.01); B60W 50/14 (2013.01); G10L 15/063 (2013.01); G10L 15/10 (2013.01); G10L 25/63 (2013.01); B60W 2540/21 (2020.02); B60W 2540/22 (2013.01); B60W 2540/30 (2013.01); G10L 2015/0631 (2013.01); G10L 2015/0638 (2013.01);
Abstract

An onboard device estimates a traveling state of a vehicle that may be influenced by the psychological state of a driver, based on an utterance of the driver without the use of various sensors, and includes: a voice collection unit for collecting a driver's voice; a traveling state collection unit for collecting traveling state information representing a traveling state of a vehicle; a database generation unit for generating a database by associating voice information corresponding to the collected voice with the collected traveling state information; a learning unit for learning an estimation model, with pairs including the voice information and the traveling state information recorded in the generated database being used as learning data; and an estimation unit for estimating the traveling state of the vehicle that may be influenced by a psychological state of the driver by using the estimation model, based on an utterance of the driver.


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