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:
Sep. 16, 2014

Filed:

Jul. 27, 2009
Applicants:

Andreas Gruetzmann, Stuttgart, DE;

Steffen Abraham, Hildesheim, DE;

Andreas Haja, Hannover, DE;

Christian Knoll, Stuttgart, DE;

Daniel Muhle, Herford, DE;

Matthias Gebhard, Stuttgart, DE;

Inventors:

Andreas Gruetzmann, Stuttgart, DE;

Steffen Abraham, Hildesheim, DE;

Andreas Haja, Hannover, DE;

Christian Knoll, Stuttgart, DE;

Daniel Muhle, Herford, DE;

Matthias Gebhard, Stuttgart, DE;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 13/02 (2006.01); G01B 11/275 (2006.01);
U.S. Cl.
CPC ...
G01B 11/275 (2013.01); G01B 2210/20 (2013.01);
Abstract

In a method for determining a wheel or axle geometry of a vehicle, the following steps are provided: illuminating a wheel region with structured and with unstructured light during a motion of at least one wheel and/or of the vehicle; acquiring multiple images of the wheel region during the illumination, in order to create a three-dimensional surface model having surface parameters, a texture model having texture parameters, and a motion model having motion parameters of the sensed wheel region; calculating values for the surface parameters, the texture parameters, and the motion parameters using a variation computation as a function of the acquired images, in order to minimize a deviation of the three-dimensional surface model, texture model, and motion model from image data of the acquired images; and determining a rotation axis and/or a rotation center of the wheel as a function of the calculated values of the motion parameters.


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