Patents by Inventor Enrique Corona
Enrique Corona 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: 11783707Abstract: A computing system can receive, in a vehicle, moving object information is determined by processing lidar sensor data acquired by a stationary lidar sensor. The moving object information can be determined using typicality and eccentricity data analysis (TEDA) on the lidar sensor data. The vehicle can be operated based on the moving object information.Type: GrantFiled: October 9, 2018Date of Patent: October 10, 2023Assignee: Ford Global Technologies, LLCInventors: Mostafa Parchami, Juan Enrique Castorena Martinez, Enrique Corona, Bruno Sielly Jales Costa, Gintaras Vincent Puskorius
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Publication number: 20230267719Abstract: A deep neural network (DNN) can be trained based on a first training dataset that includes first images including annotated first objects. The DNN can be tested based on the first training dataset to determine first object predictions including first uncertainties. The DNN can be tested by inputting a second training dataset and outputting first object predictions including second uncertainties, wherein the second training dataset includes second images including unannotated second objects. A subset of images included in the second training dataset can be selected based on the second uncertainties, The second objects in the selected subset of images included in the second training dataset can be annotated. The DNN can be trained based on the selected subset of images included in the second training dataset including the annotated second objects.Type: ApplicationFiled: February 21, 2022Publication date: August 24, 2023Applicants: Ford Global Technologies, LLC, GEORGIA TECH RESEARCH CORPORATIONInventors: Mostafa Parchami, Enrique Corona, Ghassan AlRegib, Mohit Prabhushankar, Ryan Benkert
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Publication number: 20230177842Abstract: A segmentation mask can be determined that includes at least one moving object in a plurality of images based on determining eccentricity for each pixel location in the plurality of images. A first image included in the plurality of images can be segmented by applying the segmentation mask to the image. The segmented first image can be transformed to a compressed dense matrix which includes pixel values for non-zero portions of the segmented first image. The compressed dense matrix can be input to a sparse convolutional neural network trained to detect objects. A detected object corresponding to the at least one moving object included in the first image can be output from the sparse convolutional neural network.Type: ApplicationFiled: December 7, 2021Publication date: June 8, 2023Applicant: Ford Global Technologies, LLCInventors: Mostafa Parchami, Xiaomin Li, Enrique Corona, Kunjan Singh
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Publication number: 20230145701Abstract: A camera is positioned to obtain an image of an object. The image is input to a neural network that outputs a three-dimensional (3D) bounding box for the object relative to a pixel coordinate system and object parameters. Then a center of a bottom face of the 3D bounding box is determined in pixel coordinates. The bottom face of the 3D bounding box is located in a ground plane in the image. Based on calibration parameters for the camera that transform pixel coordinates into real-world coordinates, a) a distance from the center of the bottom face of the 3D bounding box to the camera relative to a real-world coordinate system and b) an angle between a line extending from the camera to the center of the bottom face of the 3D bounding box and an optical axis of the camera are determined. The calibration parameters include a camera height relative to the ground plane, a camera focal distance, and a camera tilt relative to the ground plane.Type: ApplicationFiled: September 24, 2021Publication date: May 11, 2023Applicant: Ford Global Technologies, LLCInventors: Mostafa Parchami, Enrique Corona, Kunjan Singh, Gaurav Pandey
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Patent number: 11631197Abstract: A system, including a processor and a memory, the memory including instructions to be executed by the processor to determine camera calibration parameters including camera focal distance, camera height and camera tilt based on a two-dimensional calibration pattern located parallel to and coincident with a ground plane determined by a roadway surface and determine object data including object location, object speed and object direction for one or more objects in a field of view of the video camera.Type: GrantFiled: October 1, 2020Date of Patent: April 18, 2023Assignee: Ford Global Technologies, LLCInventors: Enrique Corona, Armin Parchami, Faizan Shaik
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Publication number: 20230083142Abstract: A refrigerating appliance includes a cabinet having an inner liner that defines at least one aperture for accessing a refrigerating compartment. A door is operably coupled to the cabinet and is operable between open and closed positions. A plurality of storage surfaces is positioned within the refrigerating compartment. Each storage surface is adapted to receive at least one temporarily stored item. A scanning apparatus is adapted to record data related to the storage surfaces and the at least one temporarily stored item. The scanning apparatus conducts first and second data capturing phases. The secondary data recorded during the second data capturing phase is compared against previous data recorded during the first data capturing phase to create a current inventory manifest. The current inventory manifest is compared with a set of predetermined parameters related to the at least one temporarily stored item to selectively provide an output.Type: ApplicationFiled: November 18, 2022Publication date: March 16, 2023Applicant: WHIRLPOOL CORPORATIONInventors: Enrique Corona, David Edwards, Michael T. Moore, Ryan M. Post
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Patent number: 11556889Abstract: A refrigerating appliance includes a cabinet having an inner liner that defines at least one aperture for accessing a refrigerating compartment. A door is operably coupled to the cabinet and is operable between open and closed positions. A plurality of storage surfaces is positioned within the refrigerating compartment. Each storage surface is adapted to receive at least one temporarily stored item. A scanning apparatus is adapted to record data related to the storage surfaces and the at least one temporarily stored item. The scanning apparatus conducts first and second data capturing phases. The secondary data recorded during the second data capturing phase is compared against previous data recorded during the first data capturing phase to create a current inventory manifest. The current inventory manifest is compared with a set of predetermined parameters related to the at least one temporarily stored item to selectively provide an output.Type: GrantFiled: October 1, 2019Date of Patent: January 17, 2023Assignee: Whirlpool CorporationInventors: Enrique Corona, David Edwards, Michael T. Moore, Ryan M. Post
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Patent number: 11490469Abstract: A microwave heating apparatus includes a cavity arranged to receive a load. At least one microwave generator is configured to feed a plurality of microwaves into the cavity. At least one image-capturing device and a control unit is adapted to obtain load volume information of the load within the cavity based on information recorded by the image-capturing device about at least one portion of the load, obtain load density information using at least one of a user input and information recorded by the image-capturing device about at least one portion of the load, determine load mass information based upon the load volume information and the load density information, determine a heating pattern based upon the load mass information and control the at least one microwave generator to provide the heating pattern within the cavity.Type: GrantFiled: November 7, 2019Date of Patent: November 1, 2022Assignee: Whirlpool CorporationInventors: Enrique Corona, Fredrik Hallgren, Horacio Polli, Gianpiero Santacatterina
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Patent number: 11460851Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to input a red-green-blue (RGB) image and an eccentricity image to a neural network which outputs a located object based on combining the RGB image and the eccentricity image, wherein the eccentricity image is based on a per-pixel rolling average and a per-pixel rolling variance over a moving window of k video frames. The memory can further include instructions executable by the processor to receive the located object at a computing device included in one or more of a vehicle or a traffic information system.Type: GrantFiled: May 24, 2019Date of Patent: October 4, 2022Assignee: Ford Global Technologies, LLCInventors: Mostafa Parchami, Chandana Neerukonda, Gintaras Vincent Puskorius, Enrique Corona, Kunjan Singh
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Patent number: 11423576Abstract: A system includes a camera, a visual target including a GPS receiver, and a processor. The camera images the visual target at a plurality of locations to obtain a plurality of images. The processor receives GPS coordinates for each respective location. Also, the processor determines a 3D location of the visual target in a camera reference frame for each of the images. The processor derives a plurality of estimated GPS camera locations for each of the plurality of images and mitigates an error associated with each of the derived estimated GPS camera locations to derive an average GPS camera location. This location is used to determine and store a transformation usable to describe objects viewed by the camera in the camera reference frame in terms of the GPS reference frame.Type: GrantFiled: July 23, 2021Date of Patent: August 23, 2022Assignee: Ford Global Technologies, LLCInventors: Enrique Corona, Mostafa Parchami, Gaurav Pandey
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Patent number: 11403856Abstract: A system, including a processor and a memory, the memory including instructions to be executed by the processor to identify first object features from sensor data acquired by a stationary sensor at a first time step, determine second object features at a second time step. The instructions can include further instructions to determine one or more object clusters of first object features by determining distances measured in pixels between the first object features and corresponding second object features and comparing the distances to one or more mean distances and determine one or more object groups of inlier first object features in the one or more object clusters by determining a plurality of similarity transformations for a plurality of random samples of first object features and determining inlier first object features based on maximizing the number of first object features included in a similarity transformation.Type: GrantFiled: August 26, 2020Date of Patent: August 2, 2022Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Mostafa Parchami, Faizan Shaik, Stephen Giardinelli, Gintaras Vincent Puskorius, Enrique Corona, Kunjan Singh
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Publication number: 20220108473Abstract: A system, including a processor and a memory, the memory including instructions to be executed by the processor to determine camera calibration parameters including camera focal distance, camera height and camera tilt based on a two-dimensional calibration pattern located parallel to and coincident with a ground plane determined by a roadway surface and determine object data including object location, object speed and object direction for one or more objects in a field of view of the video camera.Type: ApplicationFiled: October 1, 2020Publication date: April 7, 2022Applicant: Ford Global Technologies, LLCInventors: Enrique Corona, Armin Parchami, Faizan Shaik
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Publication number: 20220067407Abstract: A system, including a processor and a memory, the memory including instructions to be executed by the processor to identify first object features from sensor data acquired by a stationary sensor at a first time step, determine second object features at a second time step.Type: ApplicationFiled: August 26, 2020Publication date: March 3, 2022Applicant: Ford Global Technologies, LLCInventors: Mostafa Parchami, Faizan Shaik, Stephen Giardinelli, Gintaras Vincent Puskorius, Enrique Corona, Kunjan Singh
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Publication number: 20200371524Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to input a red-green-blue (RGB) image and an eccentricity image to a neural network which outputs a located object based on combining the RGB image and the eccentricity image, wherein the eccentricity image is based on a per-pixel rolling average and a per-pixel rolling variance over a moving window of k video frames. The memory can further include instructions executable by the processor to receive the located object at a computing device included in one or more of a vehicle or a traffic information system.Type: ApplicationFiled: May 24, 2019Publication date: November 26, 2020Applicant: Ford Global Technologies, LLCInventors: MOSTAFA PARCHAMI, CHANDANA NEERUKONDA, GINTARAS VINCENT PUSKORIUS, ENRIQUE CORONA, KUNJAN SINGH
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Patent number: 10769799Abstract: A computing system can receive an image including foreground pixels. The foreground pixels can be determined based on determining eccentricity ?k based on a sequence of images acquired by a stationary sensor. The vehicle can determine moving objects in the image based on the foreground pixels. The vehicle can be operated based on the moving objects in the image.Type: GrantFiled: August 24, 2018Date of Patent: September 8, 2020Assignee: Ford Global Technologies, LLCInventors: Bruno Sielly Jales Costa, Enrique Corona, Gintaras Vincent Puskorius, Dimitar Petrov Filev
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Publication number: 20200111358Abstract: A computing system can receive, in a vehicle, moving object information is determined by processing lidar sensor data acquired by a stationary lidar sensor. The moving object information can be determined using typicality and eccentricity data analysis (TEDA) on the lidar sensor data. The vehicle can be operated based on the moving object information.Type: ApplicationFiled: October 9, 2018Publication date: April 9, 2020Applicant: Ford Global Technologies, LLCInventors: Mostafa Parchami, Juan Enrique Castorena Martinez, Enrique Corona, Bruno Sielly Jales Costa, Gintaras Vincent Puskorius
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Patent number: 10616486Abstract: A computing system can receive a stabilized image stream, wherein the stabilized image stream is drift-corrected based on determining that an input image stream is stable and then applying drift correction to maintain a stabilized field of view, wherein the field of view is stabilized with respect to the real world. The computing system can operate a vehicle based on determining at least one moving object in the stabilized image stream.Type: GrantFiled: August 9, 2018Date of Patent: April 7, 2020Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Enrique Corona, Stephen Giardinelli, Bruno Sielly Jales Costa, Mostafa Parchami, Gintaras Vincent Puskorius
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Publication number: 20200077473Abstract: A microwave heating apparatus includes a cavity arranged to receive a load. At least one microwave generator is configured to feed a plurality of microwaves into the cavity. At least one image-capturing device and a control unit is adapted to obtain load volume information of the load within the cavity based on information recorded by the image-capturing device about at least one portion of the load, obtain load density information using at least one of a user input and information recorded by the image-capturing device about at least one portion of the load, determine load mass information based upon the load volume information and the load density information, determine a heating pattern based upon the load mass information and control the at least one microwave generator to provide the heating pattern within the cavity.Type: ApplicationFiled: November 7, 2019Publication date: March 5, 2020Applicant: WHIRLPOOL CORPORATIONInventors: Enrique Corona, Fredrik Hallgren, Horacio Polli, Gianpiero Santacatterina
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Publication number: 20200065978Abstract: A computing system can receive an image including foreground pixels. The foreground pixels can be determined based on determining eccentricity ?k based on a sequence of images acquired by a stationary sensor. The vehicle can determine moving objects in the image based on the foreground pixels. The vehicle can be operated based on the moving objects in the image.Type: ApplicationFiled: August 24, 2018Publication date: February 27, 2020Applicant: Ford Global Technologies, LLCInventors: BRUNO SIELLY JALES COSTA, ENRIQUE CORONA, GINTARAS VINCENT PUSKORIUS, DIMITAR PETROV FILEV
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Publication number: 20200053286Abstract: A computing system can receive a stabilized image stream, wherein the stabilized image stream is drift-corrected based on determining that an input image stream is stable and then applying drift correction to maintain a stabilized field of view, wherein the field of view is stabilized with respect to the real world. The computing system can operate a vehicle based on determining at least one moving object in the stabilized image stream.Type: ApplicationFiled: August 9, 2018Publication date: February 13, 2020Applicant: Ford Global Technologies, LLCInventors: Enrique Corona, Stephen Giardinelli, Bruno Sielly Jales Costa, Mostafa Parchami, Gintaras Vincent Puskorius