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:
Aug. 22, 2023

Filed:

Jul. 31, 2020
Applicant:

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Inventors:

Taichi Kawanai, Susono, JP;

Kazuhiko Kamikado, Susono, JP;

Hideyuki Matsui, Shizuoka, JP;

Hayato Ito, Susono, JP;

Nobuhide Kamata, Susono, JP;

Tomoyuki Kuriyama, Hadano, JP;

Yasuhiro Kobatake, Susono, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G08G 1/16 (2006.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0282 (2013.01); G05D 1/0038 (2013.01); G05D 1/0044 (2013.01); G05D 1/0061 (2013.01); G05D 1/0246 (2013.01); G08G 1/167 (2013.01);
Abstract

An autonomous driving system that performs a traveling of an autonomous driving vehicle based on a remote instruction by a remote commander includes: a vehicle position acquisition unit configured to acquire a position of the autonomous driving vehicle on the map; an external environment recognition unit configured to recognize an external environment of the autonomous driving vehicle; a remote instruction location situation recognition unit configured to recognize a remote instruction location situation on a target route of the autonomous driving vehicle set in advance based on the target route, the position of the autonomous driving vehicle on the map, and map information; and a remote instruction request determination unit configured to determine whether or not to request the remote commander for the remote instruction with regard to the remote instruction location situation, based on the external environment of the autonomous driving vehicle.


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