Patents by Inventor Martin Pellkofer
Martin Pellkofer 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).
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Patent number: 8725394Abstract: A speed limit assistant (SLA) system includes a camera based SLA, a map based SLA, and a fusion unit. The camera based SLA is configured to determine a first set of probabilities for an input image, wherein the probabilities indicate how likely the image includes a discrete set of speed limit signs. The map based SLA is configured to determine a second set of probabilities for an input coordinate, wherein the probabilities indicate how likely the coordinate is to correspond to one of a discrete set of speed limits. The fusion unit is configured to perform a Bayesian fusion on the first and second set of probabilities to determine a final speed limit from the discrete set of speed limits.Type: GrantFiled: October 7, 2008Date of Patent: May 13, 2014Assignees: Siemens Corporation, Siemens AktiengesellschaftInventors: Claus Bahlmann, Martin Pellkofer, Jan Giebel, Gregory Baratoff
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Patent number: 7769228Abstract: A method for training a system for detecting multi-class objects in an image or a video sequence is described. A common ensemble of weak classifiers for a set of object classes is identified. For each object class, a separate weighting scheme is adapted for the ensemble of weak classifiers. A method for detecting objects of multiple classes in an image or a video sequence is also disclosed. Each class is assigned a detector that is implemented by a weighted combination of weak classifiers such that all of the detectors are based on a common ensemble of weak classifiers. Then weights are individually set for each class.Type: GrantFiled: April 21, 2005Date of Patent: August 3, 2010Assignees: Siemens Corporation, Siemens AktiengesellschaftInventors: Claus Bahlmann, Ying Zhu, Dorin Comaniciu, Thorsten Köhler, Martin Pellkofer
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Publication number: 20100188288Abstract: A speed limit assistant (SLA) system includes a camera based SLA, a map based SLA, and a fusion unit. The camera based SLA is configured to determine a first set of probabilities for an input image, wherein the probabilities indicate how likely the image includes a discrete set of speed limit signs. The map based SLA is configured to determine a second set of probabilities for an input coordinate, wherein the probabilities indicate how likely the coordinate is to correspond to one of a discrete set of speed limits. The fusion unit is configured to perform a Bayesian fusion on the first and second set of probabilities to determine a final speed limit from the discrete set of speed limits.Type: ApplicationFiled: October 7, 2008Publication date: July 29, 2010Applicant: Siemens Corporate Research, Inc.Inventors: Claus Bahlmann, Martin Pellkofer, Jan Giebel, Gregory Baratoff
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Patent number: 7764808Abstract: A system and method for detecting and tracking an object is disclosed. A camera captures a video sequence comprised of a plurality of image frames. A processor receives the video sequence and analyzes each image frame to determine if an object is detected. The processor applies one or more classifiers to an object in each image frame and computes a confidence score based on the application of the one or more classifiers to the object. A database stores the one or more classifiers and vehicle training samples. A display displays the video sequence.Type: GrantFiled: March 22, 2004Date of Patent: July 27, 2010Assignees: Siemens Corporation, Siemens AktiengesellschaftInventors: Ying Zhu, Dorin Comaniciu, Martin Pellkofer, Thorsten Köhler
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Patent number: 7737832Abstract: An assistance system for motor vehicles has at least one monitoring unit monitoring a space external to a vehicle, in particular in a direction of travel of the motor vehicle, with a warning zone being defined in the monitored external space on each side of a lane. The warning zone is delimited by an earliest warning line and a latest warning line encompassing the respective lane marking or, as the case may be, boundary. An evaluation unit receives the data transmitted by the monitoring unit and generates a warning signal for an acoustic, visual and/or haptic warning and/or a steering intervention if the evaluation unit detects that a defined warning threshold lying within the warning zone is exceeded. The warning signal is issued only as a function of further planned driver-adaptive conditions.Type: GrantFiled: May 13, 2005Date of Patent: June 15, 2010Assignee: Siemens AktiengesellschaftInventors: Gregory Baratoff, Ludwig Ertl, Thorsten Köhler, Martin Pellkofer, Andre Rieder
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Patent number: 7639841Abstract: The present invention is directed to a system and method for on-road vehicle detection. A video sequence is received that is comprised of a plurality of image frames. A potential vehicle appearance is identified in an image frame. Known vehicle appearance information and scene geometry information are used to formulate initial hypotheses about vehicle appearance. The potential vehicle appearance is tracked over multiple successive image frames. Potential motion trajectories for the potential vehicle appearance are identified over the multiple image frames. Knowledge fusion of appearance, scene geometry and motion information models are applied to each image frame containing the trajectories. A confidence score is calculated for each trajectory. A trajectory with a high confidence score is determined to represent a vehicle appearance.Type: GrantFiled: December 19, 2005Date of Patent: December 29, 2009Assignees: Siemens Corporation, Siemens VDO Automotive AGInventors: Ying Zhu, Dorin Comaniciu, Martin Pellkofer, Thorsten Köhler
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Patent number: 7620208Abstract: A method of detecting a feature of a vehicle in an image of a vehicle includes providing a digitized image of a vehicle, providing a first filter mask over a first subdomain of the image, where the filter mask is placed to detect a feature in the image, calculating a function of a gradient of the image inside the first masked subdomain, and detecting the presence or absence of a vehicle feature within the first masked subdomain based on the value of the gradient function.Type: GrantFiled: December 21, 2005Date of Patent: November 17, 2009Assignees: Siemens Corporate Research, Inc., Siemens AktiengesellschaftInventors: Ying Zhu, Binglong Xie, Visvanathan Ramesh, Martin Pellkofer, Thorsten Köhler
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Patent number: 7466841Abstract: A method for detecting and recognizing at least one traffic sign is disclosed. A video sequence having a plurality of image frames is received. One or more filters are used to measure features in at least one image frame indicative of an object of interest. The measured features are combined and aggregated into a score indicating possible presence of an object. The scores are fused over multiple image frames for a robust detection. If a score indicates possible presence of an object in an area of the image frame, the area is aligned with a model. A determination is then made as to whether the area indicates a traffic sign. If the area indicates a traffic sign, the area is classified into a particular type of traffic sign. The present invention is also directed to training a system to detect and recognize traffic signs.Type: GrantFiled: April 19, 2005Date of Patent: December 16, 2008Assignee: Siemens Corporate Research, Inc.Inventors: Claus Bahlmann, Ying Zhu, Visvanathan Ramesh, Martin Pellkofer, Thorsten Köhler
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Publication number: 20080024284Abstract: An assistance system for motor vehicles has at least one monitoring unit monitoring a space external to a vehicle, in particular in a direction of travel of the motor vehicle, with a warning zone being defined in the monitored external space on each side of a lane. The warning zone is delimited by an earliest warning line and a latest warning line encompassing the respective lane marking or, as the case may be, boundary. An evaluation unit receives the data transmitted by the monitoring unit and generates a warning signal for an acoustic, visual and/or haptic warning and/or a steering intervention if the evaluation unit detects that a defined warning threshold lying within the warning zone is exceeded. The warning signal is issued only as a function of further planned driver-adaptive conditions.Type: ApplicationFiled: May 13, 2005Publication date: January 31, 2008Inventors: Gregory Baratoff, Ludwig Ertl, Thorsten Kohler, Martin Pellkofer, Andre Rieder
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Patent number: 7248718Abstract: A system and method for detecting a passing vehicle is disclosed. A video sequence comprising a plurality of image frames is received. Image intensity is measured and image motion is estimated in each image frame. A hypothesis model describing background dynamics is formulated. The measured image intensity and motion estimation is used to determine if the background dynamics has been violated in a given image frame. If the background dynamics has been violated, motion coherency is used to determine whether the violation of the background dynamics is caused by a passing vehicle.Type: GrantFiled: February 10, 2005Date of Patent: July 24, 2007Assignee: Siemens Corporate Research, Inc.Inventors: Dorin Comaniciu, Ying Zhu, Martin Pellkofer, Thorsten Köhler
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Publication number: 20060177099Abstract: The present invention is directed to a system and method for on-road vehicle detection. A video sequence is received that is comprised of a plurality of image frames. A potential vehicle appearance is identified in an image frame. Known vehicle appearance information and scene geometry information are used to formulate initial hypotheses about vehicle appearance. The potential vehicle appearance is tracked over multiple successive image frames. Potential motion trajectories for the potential vehicle appearance are identified over the multiple image frames. Knowledge fusion of appearance, scene geometry and motion information models are applied to each image frame containing the trajectories. A confidence score is calculated for each trajectory. A trajectory with a high confidence score is determined to represent a vehicle appearance.Type: ApplicationFiled: December 19, 2005Publication date: August 10, 2006Inventors: Ying Zhu, Dorin Comaniciu, Martin Pellkofer, Thorsten Köhler
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Publication number: 20060177100Abstract: A method of detecting a feature of a vehicle in an image of a vehicle includes providing a digitized image of a vehicle, providing a first filter mask over a first subdomain of the image, where the filter mask is placed to detect a feature in the image, calculating a function of a gradient of the image inside the first masked subdomain, and detecting the presence or absence of a vehicle feature within the first masked subdomain based on the value of the gradient function.Type: ApplicationFiled: December 21, 2005Publication date: August 10, 2006Inventors: Ying Zhu, Binglong Xie, Visvanathan Ramesh, Martin Pellkofer, Thorsten Kohler
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Publication number: 20060034484Abstract: A method for detecting and recognizing at least one traffic sign is disclosed. A video sequence having a plurality of image frames is received. One or more filters are used to measure features in at least one image frame indicative of an object of interest. The measured features are combined and aggregated into a score indicating possible presence of an object. The scores are fused over multiple image frames for a robust detection. If a score indicates possible presence of an object in an area of the image frame, the area is aligned with a model. A determination is then made as to whether the area indicates a traffic sign. If the area indicates a traffic sign, the area is classified into a particular type of traffic sign. The present invention is also directed to training a system to detect and recognize traffic signs.Type: ApplicationFiled: April 19, 2005Publication date: February 16, 2006Inventors: Claus Bahlmann, Ying Zhu, Visvanathan Ramesh, Martin Pellkofer, Thorsten Kohler
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Publication number: 20050249401Abstract: A method for training a system for detecting multi-class objects in an image or a video sequence is described. A common ensemble of weak classifiers for a set of object classes is identified. For each object class, a separate weighting scheme is adapted for the ensemble of weak classifiers. A method for detecting objects of multiple classes in an image or a video sequence is also disclosed. Each class is assigned a detector that is implemented by a weighted combination of weak classifiers such that all of the detectors are based on a common ensemble of weak classifiers. Then weights are individually set for each class.Type: ApplicationFiled: April 21, 2005Publication date: November 10, 2005Inventors: Claus Bahlmann, Ying Zhu, Dorin Comaniciu, Thorsten Kohler, Martin Pellkofer
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Publication number: 20050196020Abstract: A system and method for detecting a passing vehicle is disclosed. A video sequence comprising a plurality of image frames is received. Image intensity is measured and image motion is estimated in each image frame. A hypothesis model describing background dynamics is formulated. The measured image intensity and motion estimation is used to determine if the background dynamics has been violated in a given image frame. If the background dynamics has been violated, motion coherency is used to determine whether the violation of the background dynamics is caused by a passing vehicle.Type: ApplicationFiled: February 10, 2005Publication date: September 8, 2005Inventors: Dorin Comaniciu, Ying Zhu, Martin Pellkofer, Thorsten Kohler
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Publication number: 20040234136Abstract: A system and method for detecting and tracking an object is disclosed. A camera captures a video sequence comprised of a plurality of image frames. A processor receives the video sequence and analyzes each image frame to determine if an object is detected. The processor applies one or more classifiers to an object in each image frame and computes a confidence score based on the application of the one or more classifiers to the object. A database stores the one or more classifiers and vehicle training samples. A display displays the video sequence.Type: ApplicationFiled: March 22, 2004Publication date: November 25, 2004Inventors: Ying Zhu, Dorin Comaniciu, Martin Pellkofer, Thorsten Kohler