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. 09, 2021

Filed:

Jul. 27, 2017
Applicant:

Connaught Electronics Ltd., Tuam, IE;

Inventors:

Ciaran Hughes, Tuam, IE;

Duong-Van Nguyen, Tuam, IE;

Jonathan Horgan, Tuam, IE;

Jan Thomanek, Bietigheim-Bissingen, DE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/70 (2017.01); B60R 11/04 (2006.01); B60W 30/095 (2012.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); B60R 11/04 (2013.01); B60W 30/0956 (2013.01); G06K 9/00362 (2013.01); G06T 7/70 (2017.01); B60W 2554/00 (2020.02); G06T 2207/30261 (2013.01);
Abstract

The invention relates to a method for capturing an object () in an environmental region () of a motor vehicle () based on a sequence of images () of the environmental region (), which are provided by means of a camera () of the motor vehicle (), including the steps of: recognizing a first object feature () in a first image () of the sequence, wherein the first object feature () describes at least a part of the object () in the environmental region (), estimating a position of the object () in the environmental region () based on a predetermined movement model, which describes a movement of the object () in the environmental region (), determining a prediction feature () in a second image () following the first image () in the sequence based on the first object feature () and based on the estimated position, determining a second object feature () in the second image (), associating the second object feature () with the prediction feature () in the second image () if a predetermined association criterion is satisfied, and confirming the second object feature () as originating from the object () if the second object feature () is associated with the prediction feature ().


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