Patents by Inventor AARON LESKY
AARON LESKY 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: 11807256Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a first time series of positions of a vehicle sensor mounted on a vehicle from at least one calibration sensor spaced from the vehicle, measured while vibrations are applied to the vehicle; receive a second time series of motion of the vehicle sensor based on data from the vehicle sensor measured while the vibrations are applied to the vehicle; fuse the first and second time series; and determine at least one calibration value for an adjustment model based on the fusion of the first and second time series. The adjustment model is a model of motion of the vehicle sensor relative to the vehicle resulting from motion of the vehicle.Type: GrantFiled: February 1, 2022Date of Patent: November 7, 2023Assignee: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Catherine Marie Amodeo, Alexander George Shanku, Venkatesh Krishnan, Keith Van Gorder
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Publication number: 20230242133Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a first time series of positions of a vehicle sensor mounted on a vehicle from at least one calibration sensor spaced from the vehicle, measured while vibrations are applied to the vehicle; receive a second time series of motion of the vehicle sensor based on data from the vehicle sensor measured while the vibrations are applied to the vehicle; fuse the first and second time series; and determine at least one calibration value for an adjustment model based on the fusion of the first and second time series. The adjustment model is a model of motion of the vehicle sensor relative to the vehicle resulting from motion of the vehicle.Type: ApplicationFiled: February 1, 2022Publication date: August 3, 2023Applicant: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Catherine Marie Amodeo, Alexander George Shanku, Venkatesh Krishnan, Keith Van Gorder
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Publication number: 20230134302Abstract: A system for detecting a road surface includes a processor programmed to identify, in a vehicle sensor field of view, environment features including a sky, a road surface, a road shoulder, based on map data and data received from the one or more vehicle sensors, upon determining a low confidence in identifying an area of the field of view to be a road surface or sky, to receive a polarimetric image, and to determine, based on the received polarimetric image, whether the identified area is a mirage phenomenon, a wet road surface, or the sky. The low confidence is determined upon determining that a road surface has a vanishing edge, a road lane marker is missing, or an anomalous object is present.Type: ApplicationFiled: November 3, 2021Publication date: May 4, 2023Applicant: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Akshat Rajvanshi, Brian Quinn Kettlewell, Geoffrey Horowitz
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Patent number: 11592559Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to obtain velocity lidar point cloud data acquired with a frequency modulated continuous wave (FMCW) lidar sensor, wherein the velocity lidar point cloud data includes a speed with which a data point is moving with respect to the FMCW lidar sensor, filter the velocity lidar point cloud data to select static velocity data points, wherein the static velocity data points are velocity data points each correspond to a point on a roadway around a vehicle. The instructions can include further instructions to determine FMCW lidar sensor accelerations in six degrees of freedom based on the static velocity lidar data points and determine FMCW lidar sensor rotations and translations in six degrees of freedom based on the FMCW lidar sensor accelerations in six degrees of freedom.Type: GrantFiled: February 24, 2020Date of Patent: February 28, 2023Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: David Michael Herman, Aaron Lesky, Ronald Beras, Ashwin Arunmozhi
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Patent number: 11356617Abstract: A computer includes a processor and a memory storing instructions executable by the processor to input strain data measuring mechanical strain on a vehicle camera and operation data of a vehicle component, the operation data describing at least one of an output or a state of the vehicle component, to a machine learning program that outputs a displacement of the vehicle camera from a neutral position based on the strain data and the operation data. The instructions further include instructions to identify a transformation matrix that transforms data from the vehicle camera to a coordinate system of the vehicle camera in the neutral position based on the output displacement of the vehicle camera, to apply the transformation matrix to data collected by the vehicle camera to generate transformed data, and to actuate one of the vehicle component or a second vehicle component based on the transformed data.Type: GrantFiled: August 18, 2020Date of Patent: June 7, 2022Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: David Michael Herman, Aaron Lesky, Ronald Beras, Ashwin Arunmozhi, Venkatesh Krishnan
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Publication number: 20220063569Abstract: A system comprises a processor and a memory. The memory stores instructions executable by the processor to determine a baseline polarization for a surface of a material based on a first polarimetric image of the surface, to determine a second polarization for the surface based on a second polarimetric image of the surface, to determine, based on the baseline polarization data and the second polarization data, that there is a wet area on the surface, and upon determining the wet area, actuate an actuator to cause a clean the surface.Type: ApplicationFiled: August 27, 2020Publication date: March 3, 2022Applicant: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Ronald Beras, Nathaniel Martin Pressel
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Publication number: 20220060641Abstract: A computer includes a processor and a memory storing instructions executable by the processor to input strain data measuring mechanical strain on a vehicle camera and operation data of a vehicle component, the operation data describing at least one of an output or a state of the vehicle component, to a machine learning program that outputs a displacement of the vehicle camera from a neutral position based on the strain data and the operation data. The instructions further include instructions to identify a transformation matrix that transforms data from the vehicle camera to a coordinate system of the vehicle camera in the neutral position based on the output displacement of the vehicle camera, to apply the transformation matrix to data collected by the vehicle camera to generate transformed data, and to actuate one of the vehicle component or a second vehicle component based on the transformed data.Type: ApplicationFiled: August 18, 2020Publication date: February 24, 2022Applicant: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Ronald Beras, Ashwin Arunmozhi, Venkatesh Krishnan
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Patent number: 11235768Abstract: A system includes a computer including a processor programmed to identify, based on data from first sensors included in a first vehicle, that a second vehicle proximate to a route of the first vehicle is stationary. The processor is further programmed to receive, from second sensors included in the first vehicle, transient velocity data from the second vehicle; and determine an operating condition of the second vehicle based on the transient velocity data.Type: GrantFiled: July 25, 2019Date of Patent: February 1, 2022Assignee: Ford Global Technologies, LLCInventors: David Michael Herman, Ashwin Arunmozhi, Aaron Lesky, Ronald Beras
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Publication number: 20210344887Abstract: The present disclosure discloses a system and a method for mitigating image distortion. In an example implementation, the system and the method can receive vehicle state data and vehicle inertial measurement data; generate an image distortion prediction indicative of image distortion within an image captured by the image capture assembly based on the vehicle state data and the vehicle inertial measurement data; and at least one of correct or mitigate the image distortion based on the image distortion prediction.Type: ApplicationFiled: April 30, 2020Publication date: November 4, 2021Applicant: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Ronald Beras
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Patent number: 11166003Abstract: The present disclosure discloses a system and a method for mitigating image distortion. In an example implementation, the system and the method can receive vehicle state data and vehicle inertial measurement data; generate an image distortion prediction indicative of image distortion within an image captured by the image capture assembly based on the vehicle state data and the vehicle inertial measurement data; and at least one of correct or mitigate the image distortion based on the image distortion prediction.Type: GrantFiled: April 30, 2020Date of Patent: November 2, 2021Assignee: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Ronald Beras
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Publication number: 20210263154Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to obtain velocity lidar point cloud data acquired with a frequency modulated continuous wave (FMCW) lidar sensor, wherein the velocity lidar point cloud data includes a speed with which a data point is moving with respect to the FMCW lidar sensor, filter the velocity lidar point cloud data to select static velocity data points, wherein the static velocity data points are velocity data points each correspond to a point on a roadway around a vehicle. The instructions can include further instructions to determine FMCW lidar sensor accelerations in six degrees of freedom based on the static velocity lidar data points and determine FMCW lidar sensor rotations and translations in six degrees of freedom based on the FMCW lidar sensor accelerations in six degrees of freedom.Type: ApplicationFiled: February 24, 2020Publication date: August 26, 2021Applicant: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Ronald Beras, Ashwin Arunmozhi
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Publication number: 20210229657Abstract: A system includes a processor is programmed to: identify, based on data from first sensors included in a first vehicle, a second vehicle moving within a first threshold distance of a travel path of the first vehicle and within a second threshold distance of the first vehicle. The processor is further programmed to receive, from second sensors included in the first vehicle, transient velocity data of the second vehicle; and determine an operating condition of the second vehicle based on the transient velocity data.Type: ApplicationFiled: January 27, 2020Publication date: July 29, 2021Applicant: Ford Global Technologies, LLCInventors: David Michael Herman, Aaron Lesky, Ronald Beras, Ashwin Arunmozhi
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Publication number: 20210024069Abstract: A system includes a computer including a processor programmed to identify, based on data from first sensors included in a first vehicle, that a second vehicle proximate to a route of the first vehicle is stationary. The processor is further programmed to receive, from second sensors included in the first vehicle, transient velocity data from the second vehicle; and determine an operating condition of the second vehicle based on the transient velocity data.Type: ApplicationFiled: July 25, 2019Publication date: January 28, 2021Applicant: Ford Global Technologies, LLCInventors: DAVID MICHAEL HERMAN, ASHWIN ARUNMOZHI, AARON LESKY, RONALD BERAS