Patents by Inventor Dana BERMAN
Dana BERMAN 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: 11810272Abstract: Methods for dehazing a digital image and for restoring an underwater digital image. The methods include the following steps: First, clustering pixels of a digital image into haze-lines, wherein each of the haze-lines is comprised of a sub-group of the pixels that are scattered non-locally over the digital image. Second, estimating, based on the haze-lines, a transmission map of the digital image, wherein the transmission map encodes scene depth information for each pixel of the digital image. Then, for a hazy image, calculating a dehazed digital image based on the transmission map.Type: GrantFiled: December 31, 2020Date of Patent: November 7, 2023Assignees: CARMEL HAIFA UNIVERSITY ECONOMIC CORPORATION LTD., RAMOT AT TEL-AVIV UNIVERSITY LTD.Inventors: Avital Treibitz, Dana Berman, Shai Avidan
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Patent number: 11727668Abstract: Disclosed herein are systems, methods, and computer program products for predicting movement of an object in a real-world environment. The methods comprise: obtaining a plurality of image frames captured in a sequence during a period of time; identifying first image frames of the plurality of image frames that contain an image of at least one object with one or more turn signals; analyzing the first image frames to obtain a classification for a pose of the at least one object; using the classification of the pose of the at least one object to further obtain a type classification for at least one of the turn signals and a state classification for a state of at least one of the turn signals; and predicting movement of the at least one object based at least on the type and state classifications obtained for at least one of the turn signals.Type: GrantFiled: November 7, 2022Date of Patent: August 15, 2023Assignee: ARGO AI, LLCInventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
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Patent number: 11681047Abstract: A system uses data captured by vehicle-mounted sensors to generate a view of a ground surface. The system does this by receiving digital image frames and associating a location and pose of the vehicle that captured the image with each digital image frame. The system will access a three dimensional (3D) ground surface estimation model of the ground surface, select a region of interest (ROI) of the ground surface, and select a vehicle pose. The system will identify digital image frames that are associated with the pose and also with a location that corresponds to the ROI. The system will generate a visual representation of the ground surface in the ROI by projecting ground data for the ROI from the ground surface estimation model to normalized 2D images that are created from the digital image frames. The system will save the visual representation to a two-dimensional grid.Type: GrantFiled: December 19, 2019Date of Patent: June 20, 2023Assignee: ARGO AI, LLCInventors: Asaf Kagan, Dana Berman, Guy Leibovitz, Matthew Lee Gilson, Rotem Littman
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Publication number: 20230091928Abstract: Disclosed herein are systems, methods, and computer program products for predicting movement of an object in a real-world environment. The methods comprise: obtaining a plurality of image frames captured in a sequence during a period of time; identifying first image frames of the plurality of image frames that contain an image of at least one object with one or more turn signals; analyzing the first image frames to obtain a classification for a pose of the at least one object; using the classification of the pose of the at least one object to further obtain a type classification for at least one of the turn signals and a state classification for a state of at least one of the turn signals; and predicting movement of the at least one object based at least on the type and state classifications obtained for at least one of the turn signals.Type: ApplicationFiled: November 7, 2022Publication date: March 23, 2023Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
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Patent number: 11527078Abstract: A system uses video of a vehicle to detect and classify the vehicle's pose. The system generates an image stack by scaling and shifting a set of digital image frames from the video to a fixed scale, yielding a sequence of images over a time period. The system processes the image stack with a classifier to determine the pose of the object. The system also may determine state and class of visible turn signals on the object, as well as predict the vehicle's direction of travel.Type: GrantFiled: March 30, 2021Date of Patent: December 13, 2022Assignee: Argo AI, LLCInventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
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Publication number: 20210216798Abstract: A system uses video of a vehicle to detect and classify the vehicle's pose. The system generates an image stack by scaling and shifting a set of digital image frames from the video to a fixed scale, yielding a sequence of images over a time period. The system processes the image stack with a classifier to determine the pose of the object. The system also may determine state and class of visible turn signals on the object, as well as predict the vehicle's direction of travel.Type: ApplicationFiled: March 30, 2021Publication date: July 15, 2021Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
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Publication number: 20210201452Abstract: Methods for dehazing a digital image and for restoring an underwater digital image. The methods include the following steps: First, clustering pixels of a digital image into haze-lines, wherein each of the haze-lines is comprised of a sub-group of the pixels that are scattered non-locally over the digital image. Second, estimating, based on the haze-lines, a transmission map of the digital image, wherein the transmission map encodes scene depth information for each pixel of the digital image. Then, for a hazy image, calculating a dehazed digital image based on the transmission map.Type: ApplicationFiled: December 31, 2020Publication date: July 1, 2021Inventors: Avital TREIBITZ, Dana BERMAN, Shai AVIDAN
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Publication number: 20210190956Abstract: A system uses data captured by vehicle-mounted sensors to generate a view of a ground surface. The system does this by receiving digital image frames and associating a location and pose of the vehicle that captured the image with each digital image frame. The system will access a three dimensional (3D) ground surface estimation model of the ground surface, select a region of interest (ROI) of the ground surface, and select a vehicle pose. The system will identify digital image frames that are associated with the pose and also with a location that corresponds to the ROI. The system will generate a visual representation of the ground surface in the ROI by projecting ground data for the ROI from the ground surface estimation model to normalized 2D images that are created from the digital image frames. The system will save the visual representation to a two-dimensional grid.Type: ApplicationFiled: December 19, 2019Publication date: June 24, 2021Inventors: Asaf Kagan, Dana Berman, Guy Leibovitz, Matthew Lee Gilson, Rotem Littman
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Patent number: 11003928Abstract: A system uses video of a vehicle or other object to detect and classify an active turn sign on the object. The system generates an image stack by scaling and shifting a set of digital image frames from the video to a fixed scale, yielding a sequence of images over a time period. The system processes the image stack with a classifier to determine a pose of the object, as well as the state and class of each visible turn signals on the object. When the system determines that a turn signal is active, the system will predict an action that the object will take based on the class of that signal.Type: GrantFiled: August 8, 2019Date of Patent: May 11, 2021Assignee: Argo AI, LLCInventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
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Publication number: 20210042542Abstract: A system uses video of a vehicle or other object to detect and classify an active turn sign on the object. The system generates an image stack by scaling and shifting a set of digital image frames from the video to a fixed scale, yielding a sequence of images over a time period. The system processes the image stack with a classifier to determine a pose of the object, as well as the state and class of each visible turn signals on the object. When the system determines that a turn signal is active, the system will predict an action that the object will take based on the class of that signal.Type: ApplicationFiled: August 8, 2019Publication date: February 11, 2021Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
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Patent number: 10885611Abstract: Methods for dehazing a digital image and for restoring an underwater digital image. The methods include the following steps: First, clustering pixels of a digital image into haze-lines, wherein each of the haze-lines is comprised of a sub-group of the pixels that are scattered non-locally over the digital image. Second, estimating, based on the haze-lines, a transmission map of the digital image, wherein the transmission map encodes scene depth information for each pixel of the digital image. Then, for a hazy image, calculating a dehazed digital image based on the transmission map.Type: GrantFiled: April 6, 2017Date of Patent: January 5, 2021Assignees: CARMEL HAIFA UNIVERSITY ECONOMIC CORPORATION LTD., RAMOT AT TEL-AVIV UNIVERSITY LTD.Inventors: Avital Treibitz, Dana Berman, Shai Avidan
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Publication number: 20190114747Abstract: Methods for dehazing a digital image and for restoring an underwater digital image. The methods include the following steps: First, clustering pixels of a digital image into haze-lines, wherein each of the haze-lines is comprised of a sub-group of the pixels that are scattered non-locally over the digital image. Second, estimating, based on the haze-lines, a transmission map of the digital image, wherein the transmission map encodes scene depth information for each pixel of the digital image. Then, for a hazy image, calculating a dehazed digital image based on the transmission map.Type: ApplicationFiled: April 6, 2017Publication date: April 18, 2019Inventors: Avital TREIBITZ, Dana BERMAN, Shai AVIDAN