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:
Dec. 22, 2015

Filed:

Sep. 11, 2012
Applicants:

Christopher L. Lewis, Helotes, TX (US);

William C. Flannigan, San Antonio, TX (US);

Michael O. Blanton, San Antonio, TX (US);

Douglas A. Brooks, San Antonio, TX (US);

Inventors:

Christopher L. Lewis, Helotes, TX (US);

William C. Flannigan, San Antonio, TX (US);

Michael O. Blanton, San Antonio, TX (US);

Douglas A. Brooks, San Antonio, TX (US);

Assignee:

SOUTHWEST RESEARCH INSTITUTE, San Antonio, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 19/00 (2011.01); G06K 9/00 (2006.01); G06T 15/00 (2011.01); G06T 17/05 (2011.01);
U.S. Cl.
CPC ...
G06K 9/0063 (2013.01); G06T 15/00 (2013.01); G06T 17/05 (2013.01);
Abstract

A system and method for estimating a location of an object or vehicle is provided. Images of a region encompassing the object are obtained, providing a three dimensional (3-D) view frame of the region. 3-D view frames are collected along a direction of travel of the object. A 3-D map is generated along the direction of travel of the object, the map based on the 3-D view frames and further based on an estimate of motion of the object at times associated with the 3-D view frames. A first set of features is extracted from the 3-D map. A geo-referenced feature database is searched for a second set of features that match the first set of features. A geo-location associated with the second set of features is retrieved from the feature database. The location of the object is estimated based on the retrieved geo-location.


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