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. 28, 2026

Filed:

Sep. 25, 2023
Applicants:

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Katholieke Universiteit Leuven, Leuven, BE;

Inventors:

Wim Abbeloos, Brussels, BE;

Gabriel Othmezouri, Brussels, BE;

Frank Verbiest, Zichem, BE;

Bruno Dawagne, Leuven, BE;

Wim Lemkens, Leuven, BE;

Marc Proesmans, Lede, BE;

Luc Van Gool, Merksem, BE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06T 5/20 (2006.01); G06T 7/73 (2017.01); G06V 10/25 (2022.01); G06V 10/44 (2022.01); G06V 10/74 (2022.01);
U.S. Cl.
CPC ...
G06T 7/246 (2017.01); G06T 5/20 (2013.01); G06T 7/73 (2017.01); G06V 10/25 (2022.01); G06V 10/44 (2022.01); G06V 10/761 (2022.01); G06V 2201/07 (2022.01);
Abstract

A method for tracking a position of an object in a scene surrounding a mobile machine based upon information acquired from monocular images, includes: acquiring at least a first image at a first time and a second image at a second time, the first image and the second image each including image data corresponding to the object and a scene feature present in the scene surrounding the mobile machine; detecting the object in the first image and the second image; matching the scene feature across the first image and the second image; performing an estimation of an egomotion of the mobile machine based upon the scene feature matched across the first image and the second image; and predicting a position of the object taking into account the estimation of the egomotion of the mobile machine.


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