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公开(公告)号：US20140204193A1
公开(公告)日：2014-07-24
申请号：US14041016
申请日：2013-09-30
Inventor： Wende Zhang , Dan Levi , Debbie E. Nachtegall , Fernando De La Torre , Dong Huang
IPC: G06K9/00
CPC classification number: G06K9/00845 , G06K9/00597 , G06K9/0061
Abstract: A method for detecting an eyes-off-the-road condition based on an estimated gaze direction of a driver of a vehicle includes monitoring facial feature points of the driver within image input data captured by an in-vehicle camera device. A location for each of a plurality of eye features for an eyeball of the driver is detected based on the monitored facial features. A head pose of the driver is estimated based on the monitored facial feature points. The gaze direction of the driver is estimated based on the detected location for each of the plurality of eye features and the estimated head pose.
Abstract translation: 基于车辆的驾驶员的估计的注视方向来检测目标偏离路况的方法包括监视由车载摄像机装置拍摄的图像输入数据内的驾驶员的面部特征点。 基于所监视的面部特征来检测针对驾驶员的眼球的多个眼睛特征中的每一个的位置。 基于被监测的面部特征点估计驾驶员头部姿势。 基于检测到的多个眼睛特征中的每一个的位置和估计的头部姿势来估计驾驶员的视线方向。
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公开(公告)号：US12291231B2
公开(公告)日：2025-05-06
申请号：US18178733
申请日：2023-03-06
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Michael Baltaxe , Tzvi Philipp , Tomer Pe'er , Dan Levi
Abstract: A system for a host vehicle operating on a road surface includes a polarimetric camera, a global positioning system (“GPS”) receiver, a compass, and an electronic control unit (“ECU”). The camera collects polarimetric image data of a drive scene, including a potential driving path on the road surface. The ECU receives the polarimetric image data, estimates the Sun location using the GPS receiver and compass, and computes an ideal representation of the road surface using the Sun location. The ECU normalizes the polarimetric image data such that the road surface has a normalized representation in the drive scene, i.e., an angle of linear polarization (“AoLP”) and degree of linear polarization (“DoLP”) equal predetermined fixed values. The ECU executes a control action using the normalized representation.
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公开(公告)号：US20240371132A1
公开(公告)日：2024-11-07
申请号：US18311393
申请日：2023-05-03
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Roy Uziel , Oded Bialer , Dan Levi
IPC: G06V10/764 , G06V10/74 , G06V10/82 , G06V10/98 , G06V20/52 , G06V20/58 , G06V40/10 , G08G1/0967
Abstract: A system for classifying a road crossing intention of a pedestrian includes a processor including a pretrained image encoder generating an image embedding based upon an input image. The system further includes a remote server receiving the image embedding. The remote server device further references a plurality of pretrained image and text embeddings each corresponding to either a positive road crossing intention or a negative road crossing intention. The remote server device further determines a plurality of proximity values evaluating whether the input image is closer to the positive road crossing intention or the negative road crossing intention, evaluating the image embedding against each of the pretrained embeddings. The remote server device further classifies a road crossing intention of the pedestrian based upon the plurality of proximity values. The system further includes generates a road crossing intention output based upon the road crossing intention of the pedestrian.
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公开(公告)号：US20240329225A1
公开(公告)日：2024-10-03
申请号：US18190437
申请日：2023-03-27
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Michael Baltaxe , Michael Slutsky , Ariel Rubanenko , Dan Levi
CPC classification number: G01S7/539 , G01S15/89 , G01S2015/938
Abstract: A disclosure is presented for estimating height of an object using ultrasonic sensors carried onboard a vehicle. The height may be estimated by generating ultrasonic distance measurements based on a time of flight associated with ultrasonic reflections detected with the ultrasonic sensors, generating a three-dimensional (3D) occupancy grid to volumetrically represent at least a portion of an environment within field of view of the ultrasonic sensors, the 3D occupancy grid including a plurality of volumetric pixels (voxels), assigning a count value to each of the voxels based on the distance measurements, and estimating the height according to a relative spatial relationship between the vehicle and the voxel having the count value with a greatest value.
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公开(公告)号：US20230134125A1
公开(公告)日：2023-05-04
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
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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Patent Agency Ranking
公开(公告)号：US20220292316A1
公开(公告)日：2022-09-15
申请号：US17197678
申请日：2021-03-10
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Dan Levi , Noa Garnett , Roy Uziel
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：US11003920B2
公开(公告)日：2021-05-11
申请号：US16189078
申请日：2018-11-13
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Dan Levi , Noa Garnett
Abstract: A vehicle, system for operating a vehicle and method of navigating a vehicle. The system includes a sensor and a multi-layer convolutional neural network. The sensor generates an image indicative of a road scene of the vehicle. The multi-layer convolutional neural network generates a plurality of feature maps from the image via a first processing pathway, projects at least one of the plurality of feature maps onto a defined plane relative to a defined coordinate system of the road scene to obtain at least one projected feature map, applies a convolution to the at least one projected feature map in a second processing pathway to obtain a final feature map, and determines lane information from the final feature map. A control system adjusts operation of the vehicle using the lane information.
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公开(公告)号：US20190220677A1
公开(公告)日：2019-07-18
申请号：US15873319
申请日：2018-01-17
Applicant: GM Global Technology Operations LLC
Inventor： Ariel Lipson , Dan Levi , Ran Y. Gazit
CPC classification number: G06K9/00798 , G01S17/93 , G05D1/0238 , G06K9/00805
Abstract: A vehicle, detection system and method for detecting a location of an object with respect to a vehicle is disclosed. The method includes transmitting, at the vehicle, a structured light pattern at a selected frequency into a volume that includes the object and receiving, at a detector of the vehicle, a reflection of the light pattern from the volume. A processor determines a deviation in the reflection of the structured light pattern due to the object in the volume and determines a location of the object in the volume from the deviation.
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公开(公告)号：US20190072978A1
公开(公告)日：2019-03-07
申请号：US15693944
申请日：2017-09-01
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Dan Levi
Abstract: Systems and method are provided for generating map information in an autonomous vehicle. In one embodiment, a method includes: receiving image data associated with an environment of the autonomous vehicle; receiving object data associated with detected objects within the environment of the autonomous vehicle; processing the image data, the object data, and road level information using a deep learning network to obtain a first map, wherein the first map is in image coordinates; processing the first map with a second map in geographic coordinates to generate a maplet; and controlling the autonomous vehicle based on the maplet.
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公开(公告)号：US20170097411A1
公开(公告)日：2017-04-06
申请号：US14876134
申请日：2015-10-06
Applicant: GM Global Technology Operations LLC
Inventor： Dan Levi , Shuqing Zeng , Igal Bilik
CPC classification number: G01S13/58 , G01S7/40 , G01S13/42 , G01S13/867 , G01S13/931
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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