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:
Oct. 04, 2022

Filed:

Oct. 30, 2017
Applicants:

Denso Corporation, Kariya, JP;

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Inventors:

Takayuki Hiromitsu, Kariya, JP;

Shinji Kitaura, Kariya, JP;

Akihiro Kida, Toyota, JP;

Assignees:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 13/931 (2020.01); B60W 30/095 (2012.01); G01S 7/41 (2006.01); G01S 13/50 (2006.01);
U.S. Cl.
CPC ...
G01S 13/931 (2013.01); B60W 30/0953 (2013.01); G01S 7/415 (2013.01); G01S 13/50 (2013.01); B60W 2554/801 (2020.02); G01S 2013/932 (2020.01);
Abstract

A collision determination apparatus includes an acquisition section, a filtering section, a target object information detection section, a target object path prediction section, an own vehicle path prediction section, a collision determination section, and a vehicle control section. The acquisition section () acquires detection information based on a reflected wave from a search device. The filtering section filters the detection information. The target object information detection section detects a position of a target object using the filtered detection information. The target object path prediction section predicts a path of the target object based on changes in the detected position of the target object. The own vehicle path prediction section predicts a path of an own vehicle. The collision determination section determines a risk of collision between the own vehicle and the target object. The vehicle control section executes a vehicle control. The path of the target object is predicted based on the detection information filtered by a collision determination filter. The path of the target object is predicted based on the detection information filtered by a vehicle control filter. The filtering process is a smoothing process that inhibits changes in the detection information. The vehicle control filter and the collision determination filter have different smoothing degree of inhibiting the changes in the detection information.


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