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:
Jul. 03, 2018

Filed:

Mar. 19, 2015
Applicant:

Mitsubishi Electric Corporation, Tokyo, JP;

Inventors:

Yasushi Obata, Tokyo, JP;

Hiroshi Kameda, Tokyo, JP;

Kyosuke Konishi, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/095 (2012.01); B60W 30/09 (2012.01); G08G 1/16 (2006.01); B60W 30/18 (2012.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); B60W 30/14 (2006.01); B60W 30/16 (2012.01);
U.S. Cl.
CPC ...
B60W 30/09 (2013.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 30/143 (2013.01); B60W 30/16 (2013.01); B60W 30/18163 (2013.01); G08G 1/167 (2013.01); B60W 2510/18 (2013.01); B60W 2510/20 (2013.01); B60W 2520/105 (2013.01); B60W 2550/10 (2013.01); B60W 2550/306 (2013.01); B60W 2550/308 (2013.01); B60W 2710/18 (2013.01); B60W 2710/20 (2013.01); B60W 2720/106 (2013.01); B60W 2750/306 (2013.01); B60W 2750/308 (2013.01);
Abstract

A configuration includes: a target-motion prediction unit () that calculates predicted movement ranges of one or more other vehicles () based on target tracking; an inter-target collision possibility estimator () that estimates a collision possibility based on overlap of predicted movement ranges of the other vehicles (); a target-motion re-prediction unit () that again calculates predicted movement ranges to avoid collision when the collision possibility between the other vehicles () exists; an own-motion prediction unit () that calculates a predicted movement range of a user's vehicle () based on an observation result; and an own-collision possibility estimator () that estimates collision possibilities between the user's vehicle () and the other vehicles () based on overlap of the final predicted movement ranges of the other vehicles () and the predicted movement range of the user's vehicle ().


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