Patents by Inventor Benjamin Sick
Benjamin Sick 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: 12066568Abstract: A device includes an input interface for receiving a target list for the MIMO radar sensor containing angular data including information regarding a target angle, at which the target is located, and channel data including information regarding reflection signals received from the target in individual channels in the MIMO radar sensor; a modeling unit for generating model data for each of the targets; a processor for determining a model error for each of the targets, containing information regarding a discrepancy between the channel data and the model data for the target; a selector for selecting one of the targets on the basis of the model error; and an adjustment unit for determining calibration coefficients for adjusting the channel outputs in the MIMO radar that compensate for the discrepancies between the channel data and the model data.Type: GrantFiled: January 10, 2020Date of Patent: August 20, 2024Assignee: ZF Friedrichshafen AGInventors: Stefan Zechner, Benjamin Sick
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Patent number: 11879962Abstract: The invention relates to a method on a radar measuring system for determining a uniform speed, in which method two antenna pairs, each consisting of a transmitting antenna and a receiving antenna, are mapped to the same position within a virtual antenna arrangement.Type: GrantFiled: February 6, 2019Date of Patent: January 23, 2024Assignee: ZF FRIEDRICHSHAFEN AGInventors: Benjamin Sick, Stefan Zechnar, Michael Walter, Kevin Cinglant
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Patent number: 11808884Abstract: The present invention relates to a device (20) for determining a radar target list, comprising: an input interface (22) for receiving preprocessed sensor data from a radar sensor (18) with information on detected strengths at high points (H1, H2) in a distance and/or velocity dimension and in predefined neighborhood ranges of the high points in the distance and/or velocity dimension; an analysis unit (24) for determining mutually adjacent high points with overlapping neighborhood ranges based on the preprocessed sensor data; an adjustment unit (26) for adjusting the neighborhood ranges of the mutually adjacent high points; and an evaluation unit (28) for determining a radar target list with information on targets (17) in a field of view of the radar sensor based on the high points and the neighborhood ranges thereof. The present invention also relates to a method for determining a radar target list and a sensor system (10) for detecting targets (17) in an environment (12) of a vehicle (14).Type: GrantFiled: October 21, 2020Date of Patent: November 7, 2023Assignee: ZF FRIEDRICHSHAFEN AGInventors: Benjamin Sick, Stefan Zechner, Florian Engels
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Patent number: 11789113Abstract: An evaluation device for obtaining a segmentation of an environment from a radar recording of the environment, that has an input interface configured to obtain initial training data, where the initial training data comprise radar data of the radar recording and initial characteristics of objects located in the environment recorded with a radar sensor that generates the radar recordings, and where the evaluation device is configured to forward propagate an artificial neural network with the initial training data to obtain second characteristics of the objects determined with the artificial neural network in the forward propagation, and to obtain weighting factors for neural connections of the artificial neural network through backward propagation of the artificial neural network with the differences between the second characteristics and the initial characteristics, in order to obtain the segmentation of the environment through renewed forward propagation with these radar data.Type: GrantFiled: March 12, 2019Date of Patent: October 17, 2023Assignee: ZF Friedrichshafen AGInventors: Benjamin Sick, Michael Walter
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Publication number: 20220113376Abstract: A device includes an input interface for receiving a target list for the MIMO radar sensor containing angular data including information regarding a target angle, at which the target is located, and channel data including information regarding reflection signals received from the target in individual channels in the MIMO radar sensor; a modeling unit for generating model data for each of the targets; a processor for determining a model error for each of the targets, containing information regarding a discrepancy between the channel data and the model data for the target; a selector for selecting one of the targets on the basis of the model error; and an adjustment unit for determining calibration coefficients for adjusting the channel outputs in the MIMO radar that compensate for the discrepancies between the channel data and the model data.Type: ApplicationFiled: January 10, 2020Publication date: April 14, 2022Applicant: ZF Friedrichshafen AGInventors: Stefan ZECHNER, Benjamin SICK
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Publication number: 20210116539Abstract: The present invention relates to a device (20) for determining a radar target list, comprising: an input interface (22) for receiving preprocessed sensor data from a radar sensor (18) with information on detected strengths at high points (H1, H2) in a distance and/or velocity dimension and in predefined neighborhood ranges of the high points in the distance and/or velocity dimension; an analysis unit (24) for determining mutually adjacent high points with overlapping neighborhood ranges based on the preprocessed sensor data; an adjustment unit (26) for adjusting the neighborhood ranges of the mutually adjacent high points; and an evaluation unit (28) for determining a radar target list with information on targets (17) in a field of view of the radar sensor based on the high points and the neighborhood ranges thereof. The present invention also relates to a method for determining a radar target list and a sensor system (10) for detecting targets (17) in an environment (12) of a vehicle (14).Type: ApplicationFiled: October 21, 2020Publication date: April 22, 2021Inventors: Benjamin Sick, Stefan Zechner, Florian Engels
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Publication number: 20210041553Abstract: An evaluation method for radar measurement data of a mobile radar measurement system includes the steps of preparing a multidimensional range-Doppler map from the radar measurement data. In this evaluation method, each multidimensional range-Doppler map is stored together with time information. Moreover, at least one multidimensional range-Doppler map with time information is propagated on the basis of known movement data of the radar measurement system to the current time. The multiple multidimensional range-Doppler maps may be combined to form a combined range-Doppler map.Type: ApplicationFiled: October 25, 2018Publication date: February 11, 2021Applicant: ZF Friedrichshafen AGInventors: Martin Randler, Benjamin Sick, Martin Hermann Hahn
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Publication number: 20210003694Abstract: The invention relates to a method on a radar measuring system for determining a uniform speed, in which method two antenna pairs, each consisting of a transmitting antenna and a receiving antenna, are mapped to the same position within a virtual antenna arrangement.Type: ApplicationFiled: February 6, 2019Publication date: January 7, 2021Inventors: Benjamin Sick, Stefan Zechnar, Michael Walter, Kevin Cinglant
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Publication number: 20190279366Abstract: An evaluation device for obtaining a segmentation of an environment from a radar recording of the environment, that has an input interface configured to obtain initial training data, where the initial training data comprise radar data of the radar recording and initial characteristics of objects located in the environment recorded with a radar sensor that generates the radar recordings, and where the evaluation device is configured to forward propagate an artificial neural network with the initial training data to obtain second characteristics of the objects determined with the artificial neural network in the forward propagation, and to obtain weighting factors for neural connections of the artificial neural network through backward propagation of the artificial neural network with the differences between the second characteristics and the initial characteristics, in order to obtain the segmentation of the environment through renewed forward propagation with these radar data.Type: ApplicationFiled: March 12, 2019Publication date: September 12, 2019Applicant: ZF Friedrichshafen AGInventors: Benjamin Sick, Michael Walter