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公开(公告)号：US12269500B2
公开(公告)日：2025-04-08
申请号：US17516348
申请日：2021-11-01
Applicant: GM Global Technology Operations LLC
Inventor： Michael Baltaxe , Dan Levi , Noa Garnett , Doron Portnoy , Amit Batikoff , Shahar Ben Ezra , Tal Furman
IPC: B60W60/00 , G06F18/214 , G06V20/58
Abstract: A system in a vehicle includes an image sensor to obtain images in an image sensor coordinate system and a depth sensor to obtain point clouds in a depth sensor coordinate system. Processing circuitry implements a neural network to determine a validation state of a transformation matrix that transforms the point clouds in the depth sensor coordinate system to transformed point clouds in the image sensor coordinate system. The transformation matrix includes rotation parameters and translation parameters.
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公开(公告)号：US12229926B2
公开(公告)日：2025-02-18
申请号：US17863501
申请日：2022-07-13
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Tzvi Philipp , Dan Levi , Shai Silberstein
IPC: G06T5/73
Abstract: A method for deblurring a blurred image includes dividing the blurred image into overlapping regions each having a size and an offset from neighboring overlapping regions along a first direction as determined by a period of a ringing artifact in the blurred image, or by obtained blur characteristics relating to the blurred image and/or attributable to the optical system, or by a detected cause capable of producing the blur characteristics, stacking the overlapping regions to produce a stacked output, wherein the overlapping regions are sequentially organized along the first direction, convolving the stacked output through a first convolutional neural network (CNN) to produce a first CNN output having reduced blur as compared to the stacked output, and assembling the first CNN output into a re-assembled image, and processing the re-assembled image through a second CNN to produce a deblurred image having reduced residual artifacts as compared to the re-assembled image.
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公开(公告)号：US11893086B2
公开(公告)日：2024-02-06
申请号：US17197678
申请日：2021-03-10
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Dan Levi , Noa Garnett , Roy Uziel
IPC: G06F18/00 , G06F18/241 , G06N3/08 , G06V20/56 , G06F18/214
CPC classification number: G06F18/241 , G06F18/214 , G06N3/08 , G06V20/56
Abstract: A system for analyzing images includes a processing device includes a receiving module configured to receive an image, and an analysis module configured to apply the received image to a machine learning network and classify one or more features in the received image, the machine learning network configured to propagate image data through a plurality of convolutional layers, each convolutional layer of the plurality of convolutional layers including a plurality of filter channels, the machine learning network including a bottleneck layer configured to recognize an image feature based on a shape of an image component, The system also includes an output module configured to output characterization data that includes a classification of the one or more features.
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公开(公告)号：US20220242433A1
公开(公告)日：2022-08-04
申请号：US17165162
申请日：2021-02-02
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ron M. Hecht , Yael Shmueli Friedland , Ariel Telpaz , Dan Levi
Abstract: A system for notifying a user of a vehicle includes a receiving module configured to receive detection data related to an environment around the vehicle, the detection data including an image of at least a portion of the environment. The system also includes an analysis module configured to detect an object in the image and determine a level of salience of the object to the user, an image enhancement module configured to apply one or more saliency features to a region of the image corresponding to the object, the one or more saliency features including an adjustment to an image attribute in the region, the adjustment based on the level of salience and configured to draw attention of the user to the region without occluding the region, and a display module configured to present a display including the image and the one or more saliency features to the user.
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公开(公告)号：US20210276574A1
公开(公告)日：2021-09-09
申请号：US16807735
申请日：2020-03-03
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Netalee Efrat Sela , Max Bluvstein , Dan Levi , Noa Garnett , Bat El Shlomo
Abstract: A vehicle having an imaging sensor that is arranged to monitor a field-of-view (FOV) that includes a travel surface proximal to the vehicle is described. Detecting the travel lane includes capturing a FOV image of a viewable region of the travel surface. The FOV image is converted, via an artificial neural network, to a plurality of feature maps. The feature maps are projected, via an inverse perspective mapping algorithm, onto a BEV orthographic grid. The feature maps include travel lane segments and feature embeddings, and the travel lane segments are represented as line segments. The line segments are concatenated for the plurality of grid sections based upon the feature embeddings to form a predicted lane. The concatenation, or clustering is accomplished via the feature embeddings.
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Patent Agency Ranking
公开(公告)号：US20210158058A1
公开(公告)日：2021-05-27
申请号：US16691014
申请日：2019-11-21
Applicant: GM Global Technology Operations LLC
Inventor： Dan Levi , Noa Garnett
Abstract: Systems and methods to perform image-based three-dimensional (3D) lane detection involve obtaining known 3D points of one or more lane markings in an image including the one or more lane markings. The method includes overlaying a grid of anchor points on the image. Each of the anchor points is a center of i concentric circles. The method also includes generating an i-length vector and setting an indicator value for each of the anchor points based on the known 3D points as part of a training process of a neural network, and using the neural network to obtain 3D points of one or more lane markings in a second image.
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公开(公告)号：US20190383900A1
公开(公告)日：2019-12-19
申请号：US16010698
申请日：2018-06-18
Applicant: GM Global Technology Operations LLC
Inventor： Oded Bialer , Noa Garnett , Dan Levi
Abstract: A radar system and a method to configure the radar system involve one or more transmit antennas to transmit a radio frequency signal, and one or more receive antennas to receive reflected energy based on the radio frequency signal transmitted by the one or more transmit antennas. The one or more transmit antennas and the one or more receive antennas are arranged in an array. A processor jointly determines a spacing among the one or more transmit antennas and the one or more receive antennas arranged in the array and a mapping between data obtained by the one or more receive antennas and an angle of arrival of one or more targets detected in the data. Joint determination refers to both determination of the spacing being in consideration of the mapping and determination of the mapping being in consideration of the spacing.
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公开(公告)号：US10474908B2
公开(公告)日：2019-11-12
申请号：US15642816
申请日：2017-07-06
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Dan Levi , Noa Garnett , Ethan Fetaya , Shaul Oron
Abstract: A method in a vehicle for performing multiple on-board sensing tasks concurrently in the same network using deep learning algorithms is provided. The method includes receiving vision sensor data from a sensor on the vehicle, determining a set of features from the vision sensor data using a plurality of feature layers in a convolutional neural network, and concurrently estimating, using the convolutional neural network, bounding boxes for detected objects, free-space boundaries, and object poses for detected objects from the set of features determined by the plurality of feature layers. The neural network may include a plurality of free-space estimation layers configured to determine the boundaries of free-space in the vision sensor data, a plurality of object detection layers configured to detect objects in the image and to estimate bounding boxes that surround the detected objects, and a plurality of object pose detection layers configured to estimate the direction of each object.
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公开(公告)号：US10094919B2
公开(公告)日：2018-10-09
申请号：US14876134
申请日：2015-10-06
Applicant: GM Global Technology Operations LLC
Inventor： Dan Levi , Shuqing Zeng , Igal Bilik
Abstract: A method of determining velocity of a target and a fusion system on a moving platform to determine the velocity of the target are described. The method includes obtaining, using a radar system, position and radial velocity of the target relative to the moving platform, obtaining, using a vision system, optical flow vectors based on motion of the target relative to the moving platform, and estimating a dominant motion vector of the target based on the optical flow vectors. The method also includes processing the position, the radial velocity, and the dominant motion vector and determining the velocity of the target in two dimensions.
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公开(公告)号：US10046715B2
公开(公告)日：2018-08-14
申请号：US14918267
申请日：2015-10-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Dan Levi , Shai Silberstein
Abstract: Systems and methods for detecting objects from a moving platform are provided. The method includes receiving, from a camera coupled to the moving platform, first and second image frames, wherein the second image frame is subsequent in time to the first image frame. Within the first image frame, a first target is defined characterizing the location of an object detected in the first image frame. A first score associated with the first target and a second score associated with the second target are determined, and a first predicted target is determined based on a tracking process applied to the first target. A third score associated with the first predicted target is determined. The method determines a merged target corresponding to the second target when the second score is greater than the third score and a proximity measure between the second target and the first predicted target is above a threshold.
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