Patents by Inventor Markus Ulrich

Markus Ulrich has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220187179
    Abstract: A method for evaluating signals of a sensor unit including at least two sensors. The method includes reading in a first sensor value of a first of the sensors and a second sensor value of a second sensor, the first and second sensor value each representing one parameter of a substance to be measured by the sensors or a linking of the parameters. A threshold value range is read in, which maps a range of combinations of at least the first and second sensor values, which represents the presence or a value of the substance to be measured in surroundings of the first and second sensors. A combination of the read-in first and second sensor values is recognized as being outside the threshold value range. The threshold value range is changed into a changed threshold value range so that the combination is situated within the changed threshold value range.
    Type: Application
    Filed: November 15, 2021
    Publication date: June 16, 2022
    Inventors: Christoph Zimmer, Markus Ulrich, Phillipp Nolte
  • Patent number: 11328478
    Abstract: In this invention, systems and methods are described that allow performing stereo reconstruction with line-scan cameras in general configurations. Consequently, the cumbersome exact alignment of the sensor lines becomes superfluous. The proposed method requires that telecentric lenses instead of perspective lenses are mounted on the line-scan cameras. In this case, the images can be accurately rectified with stereo rectification. The rectified images can be used to perform an efficient stereo matching. The method comprises a camera model and a calibration procedure that allow to precisely model the imaging process, also including the modelling of lens distortions even if the sensor lines are not exactly mounted behind the principal points. This ensures a high accuracy of the resulting 3D reconstruction.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: May 10, 2022
    Assignee: MVTec Software GmbH
    Inventors: Carsten Steger, Markus Ulrich
  • Publication number: 20210327136
    Abstract: In this invention, systems and methods are described that allow performing stereo reconstruction with line-scan cameras in general configurations. Consequently, the cumbersome exact alignment of the sensor lines becomes superfluous. The proposed method requires that telecentric lenses instead of perspective lenses are mounted on the line-scan cameras. In this case, the images can be accurately rectified with stereo rectification. The rectified images can be used to perform an efficient stereo matching. The method comprises a camera model and a calibration procedure that allow to precisely model the imaging process, also including the modelling of lens distortions even if the sensor lines are not exactly mounted behind the principal points. This ensures a high accuracy of the resulting 3D reconstruction.
    Type: Application
    Filed: May 29, 2020
    Publication date: October 21, 2021
    Inventors: Carsten STEGER, Markus ULRICH
  • Patent number: 10460472
    Abstract: A method for adapting a matching model of an object comprising the step of providing an electronic image of the object; providing a matching model of the object, the matching model consisting of a plurality of points; determining a pose of the object in said electronic image by using a matching approach that uses said matching model; transforming the matching model according to said pose, yielding a transformed model; determining for at least one point of said transformed model a corresponding point in said electronic image; and adapting the matching model according to the at least one determined corresponding point.
    Type: Grant
    Filed: July 13, 2017
    Date of Patent: October 29, 2019
    Assignee: UNIVERSITÄT LEIPZIG
    Inventors: Tobias Böttger, Markus Ulrich, Carsten Steger
  • Publication number: 20180336699
    Abstract: A method for adapting a matching model of an object comprising the step of providing an electronic image of the object; providing a matching model of the object, the matching model consisting of a plurality of points; determining a pose of the object in said electronic image by using a matching approach that uses said matching model; transforming the matching model according to said pose, yielding a transformed model; determining for at least one point of said transformed model a corresponding point in said electronic image; and adapting the matching model according to the at least one determined corresponding point.
    Type: Application
    Filed: July 13, 2017
    Publication date: November 22, 2018
    Inventors: Tobias BÖTTGER, Markus ULRICH, Carsten STEGER
  • Patent number: 9243532
    Abstract: The invention relates to a pumping device (20) for supplying an exhaust gas aftertreament system (10) of an internal combustion engine with a reductant (14), in particular with a urea-water solution, in order to reduce nitrogen oxides (NOx) in the exhaust gas flow of the internal combustion engine, comprising a motor (32) for driving two pumps (22, 24). According to the invention, the first pump (22) is connected to the motor (32) by means of a first coupling, and the second pump (24) is connected to the motor by means of a second coupling. In a preferred embodiment, the couplings are designed as freewheel couplings (26, 28) acting in opposite directions, so that a switch between a “pumping state” and a “suck-back state” can be made by simply reversing the direction of rotation of the motor (32).
    Type: Grant
    Filed: December 27, 2011
    Date of Patent: January 26, 2016
    Assignee: Robert Bosch GmbH
    Inventors: Markus Ulrich, Christoph Waletzek
  • Patent number: 8994723
    Abstract: The invention provides a method for recognizing instances of a 3D object in 3D scene data and scene intensity data and for determining the 3D poses of said instances comprising the following steps: (a) providing 3D object data and obtaining object intensity data; (b) providing 3D scene data and scene intensity data; (c) extracting scene feature points from the intensity data; (d) selecting at least one reference point from the 3D scene data; (e) computing, for each selected reference point, pose candidates for the 3D object under the assumption that said reference point is part of the 3D object by maximizing the number of extracted scene feature points that are consistent with the 3D object under the given pose candidate; (f) computing a set of filtered poses from the pose candidates.
    Type: Grant
    Filed: December 4, 2012
    Date of Patent: March 31, 2015
    Assignee: MVTec Software GmbH
    Inventors: Bertram Drost, Markus Ulrich
  • Patent number: 8830229
    Abstract: The invention provides a method for recognizing instances of a 3D object in 3D scene data and for determining the 3D poses of said instances comprising the following steps: (a) providing 3D scene data; (b) selecting at least one reference point from the 3D scene data; (c) computing, for each selected reference point, pose candidates for the 3D object under the assumption that said reference point is part of the 3D object; and (d) computing a set of filtered poses from the pose candidates.
    Type: Grant
    Filed: January 6, 2011
    Date of Patent: September 9, 2014
    Assignee: MVTec Software GmbH
    Inventors: Bertram Heinrich Drost, Markus Ulrich
  • Publication number: 20140105506
    Abstract: The invention provides a method for recognizing instances of a 3D object in 3D scene data and scene intensity data and for determining the 3D poses of said instances comprising the following steps: (a) providing 3D object data and obtaining object intensity data; (b) providing 3D scene data and scene intensity data; (c) extracting scene feature points from the intensity data; (d) selecting at least one reference point from the 3D scene data; (e) computing, for each selected reference point, pose candidates for the 3D object under the assumption that said reference point is part of the 3D object by maximizing the number of extracted scene feature points that are consistent with the 3D object under the given pose candidate; (f) computing a set of filtered poses from the pose candidates.
    Type: Application
    Filed: December 4, 2012
    Publication date: April 17, 2014
    Applicant: MVTEC SOFTWARE GMBH
    Inventors: Bertram DROST, Markus ULRICH
  • Patent number: 8627718
    Abstract: The invention relates to a sensor arrangement for determining a tank fill level of a liquid, especially a reducing agent for removing nitrogen from the exhaust gases of an internal combustion engine, which liquid is contained in a tank, at least two electrically conductive measuring electrodes being at least partially embedded in a carrier that is produced of an electrically non-conductive material. The sensor arrangement includes a temperature sensor, especially a resistor with negative temperature coefficient being used as a temperature sensor, which is integrated into the carrier.
    Type: Grant
    Filed: October 31, 2008
    Date of Patent: January 14, 2014
    Assignee: Robert Bosch GmbH
    Inventors: Markus Ulrich, Vlatko Babic, Guenther Krenz, Rainer Haeberer, Wolf-Ingo Ratzel, Bruno Hezel, Michael Gerlach, Vaclav Straus
  • Publication number: 20130276430
    Abstract: The invention relates to a pumping device (20) for supplying an exhaust gas aftertreament system (10) of an internal combustion engine with a reductant (14), in particular with a urea-water solution, in order to reduce nitrogen oxides (NOx) in the exhaust gas flow of the internal combustion engine, comprising a motor (32) for driving two pumps (22, 24). According to the invention, the first pump (22) is connected to the motor (32) by means of a first coupling, and the second pump (24) is connected to the motor by means of a second coupling. In a preferred embodiment, the couplings are designed as freewheel couplings (26, 28) acting in opposite directions, so that a switch between a “pumping state” and a “suck-back state” can be made by simply reversing the direction of rotation of the motor (32).
    Type: Application
    Filed: December 27, 2011
    Publication date: October 24, 2013
    Applicant: ROBERT BOSCH GMBH
    Inventors: Markus Ulrich, Christoph Waletzek
  • Patent number: 8379014
    Abstract: The present invention provides a system and method for recognizing a 3D object in a single camera image and for determining the 3D pose of the object with respect to the camera coordinate system. In one typical application, the 3D pose is used to make a robot pick up the object. A view-based approach is presented that does not show the drawbacks of previous methods because it is robust to image noise, object occlusions, clutter, and contrast changes. Furthermore, the 3D pose is determined with a high accuracy. Finally, the presented method allows the recognition of the 3D object as well as the determination of its 3D pose in a very short computation time, making it also suitable for real-time applications. These improvements are achieved by the methods disclosed herein.
    Type: Grant
    Filed: February 20, 2008
    Date of Patent: February 19, 2013
    Assignee: MVTEC Software GmbH
    Inventors: Christian Wiedemann, Markus Ulrich, Carsten Steger
  • Publication number: 20110273442
    Abstract: The invention provides a method for recognizing instances of a 3D object in 3D scene data and for determining the 3D poses of said instances comprising the following steps: (a) providing 3D scene data; (b) selecting at least one reference point from the 3D scene data; (c) computing, for each selected reference point, pose candidates for the 3D object under the assumption that said reference point is part of the 3D object; and (d) computing a set of filtered poses from the pose candidates.
    Type: Application
    Filed: January 6, 2011
    Publication date: November 10, 2011
    Applicant: MVTEC SOFTWARE GMBH
    Inventors: Bertram Heinrich Drost, Markus Ulrich
  • Patent number: 7953291
    Abstract: The present invention provides a system and methods for automatic parameter determination in machine vision in general, and in object recognition in particular. Many machine vision systems use algorithms that demand the user to specify one or more parameters in order to adapt the behavior of the algorithm in dependence of the current application. This is not desirable because the complexity of the algorithm should be hidden from the user and a manual parameter determination is contrary to a desirable high degree of automation. The present invention provides a method to automatically determine the most frequently used parameters in machine vision solely based on the input image itself. The method is explained in detail using an object recognition system as an example. In particular, the model generation process based on a model image of the object is explained. However, also other systems that use edge extraction algorithms, for example, can benefit from the present invention.
    Type: Grant
    Filed: May 26, 2010
    Date of Patent: May 31, 2011
    Assignee: MVTEC Software GmbH
    Inventors: Markus Ulrich, Carsten Steger
  • Patent number: 7953290
    Abstract: The present invention provides a system and methods for automatic parameter determination in machine vision in general, and in object recognition in particular. Many machine vision systems use algorithms that demand the user to specify one or more parameters in order to adapt the behavior of the algorithm in dependence of the current application. This is not desirable because the complexity of the algorithm should be hidden from the user and a manual parameter determination is contrary to a desirable high degree of automation. The present invention provides a method to automatically determine the most frequently used parameters in machine vision solely based on the input image itself. The method is explained in detail using an object recognition system as an example. In particular, the model generation process based on a model image of the object is explained. However, also other systems that use edge extraction algorithms, for example, can benefit from the present invention.
    Type: Grant
    Filed: May 26, 2010
    Date of Patent: May 31, 2011
    Assignee: MVTEC Software GmbH
    Inventors: Markus Ulrich, Carsten Steger
  • Publication number: 20110011178
    Abstract: The invention relates to a sensor arrangement for determining a tank fill level of a liquid, especially a reducing agent for removing nitrogen from the exhaust gases of an internal combustion engine, which liquid is contained in a tank, at least two electrically conductive measuring electrodes being at least partially embedded in a carrier that is produced of an electrically non-conductive material. The sensor arrangement includes a temperature sensor, especially a resistor with negative temperature coefficient being used as a temperature sensor, which is integrated into the carrier.
    Type: Application
    Filed: October 31, 2008
    Publication date: January 20, 2011
    Inventors: Markus Ulrich, Vlatko Babic, Guenther Krenz, Rainer Haeberer, Wolf-Ingo Ratzel, Bruno Hezel, Michael Gerlach, Vaclav Straus
  • Publication number: 20100231744
    Abstract: The present invention provides a system and methods for automatic parameter determination in machine vision in general, and in object recognition in particular. Many machine vision systems use algorithms that demand the user to specify one or more parameters in order to adapt the behavior of the algorithm in dependence of the current application. This is not desirable because the complexity of the algorithm should be hidden from the user and a manual parameter determination is contrary to a desirable high degree of automation. The present invention provides a method to automatically determine the most frequently used parameters in machine vision solely based on the input image itself. The method is explained in detail using an object recognition system as an example. In particular, the model generation process based on a model image of the object is explained. However, also other systems that use edge extraction algorithms, for example, can benefit from the present invention.
    Type: Application
    Filed: May 26, 2010
    Publication date: September 16, 2010
    Applicant: MVTEC SOFTWARE GMBH
    Inventors: Markus Ulrich, Carsten Steger
  • Publication number: 20100232708
    Abstract: The present invention provides a system and methods for automatic parameter determination in machine vision in general, and in object recognition in particular. Many machine vision systems use algorithms that demand the user to specify one or more parameters in order to adapt the behavior of the algorithm in dependence of the current application. This is not desirable because the complexity of the algorithm should be hidden from the user and a manual parameter determination is contrary to a desirable high degree of automation. The present invention provides a method to automatically determine the most frequently used parameters in machine vision solely based on the input image itself. The method is explained in detail using an object recognition system as an example. In particular, the model generation process based on a model image of the object is explained. However, also other systems that use edge extraction algorithms, for example, can benefit from the present invention.
    Type: Application
    Filed: May 26, 2010
    Publication date: September 16, 2010
    Applicant: MVTEC SOFTWARE GmbH
    Inventors: Markus Ulrich, Carsten Steger
  • Patent number: 7751625
    Abstract: The present invention provides a system and methods for automatic parameter determination in machine vision in general, and in object recognition in particular. Many machine vision systems use algorithms that demand the user to specify one or more parameters in order to adapt the behavior of the algorithm in dependence of the current application. This is not desirable because the complexity of the algorithm should be hidden from the user and a manual parameter determination is contrary to a desirable high degree of automation. The present invention provides a method to automatically determine the most frequently used parameters in machine vision solely based on the input image itself. The method is explained in detail using an object recognition system as an example. In particular, the model generation process based on a model image of the object is explained. However, also other systems that use edge extraction algorithms, for example, can benefit from the present invention.
    Type: Grant
    Filed: April 21, 2006
    Date of Patent: July 6, 2010
    Assignee: MVTec Software GmbH
    Inventors: Markus Ulrich, Carsten Steger
  • Patent number: D885175
    Type: Grant
    Filed: September 11, 2017
    Date of Patent: May 26, 2020
    Inventors: Christof Walter Schneider, Markus Ulrich Schneider