-
公开(公告)号：US12270891B2
公开(公告)日：2025-04-08
申请号：US17947298
申请日：2022-09-19
Applicant: GM Global Technology Operations LLC
Inventor： Oded Bialer , Yuval Haitman , Dan Levi
Abstract: A system includes a transmitter of a radar system to transmit transmitted signals, and a receiver of the radar system to receive received signals based on reflection of one or more of the transmitted signals by one or more objects. The system also includes a processor to train a neural network with reference data obtained by simulating a higher resolution radar system than the radar system to obtain a trained neural network. The trained neural network enhances detection of the one or more objects based on obtaining and processing the received signals in a vehicle. One or more operations of the vehicle are controlled based on the detection of the one or more objects.
-
公开(公告)号：US20240300517A1
公开(公告)日：2024-09-12
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
CPC classification number: B60W60/001 , G06T7/70 , H04N23/54 , B60W2556/50 , G06T2207/10024 , G06T2207/30256
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.
-
公开(公告)号：US20240157791A1
公开(公告)日：2024-05-16
申请号：US17984416
申请日：2022-11-10
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yael Shmueli Friedland , Asaf Degani , Dan Levi , Tzvi Philipp , Eran Kishon
IPC: B60K35/00
CPC classification number: B60K35/00 , B60K2370/188 , B60K2370/52 , B60K2370/56 , B60K2370/731 , B60K2370/92
Abstract: A method of controlling a color display screen aboard a motor vehicle includes performing, via a host computer, a color calibration test of a user of the motor vehicle in which the user is subjected to a calibrated set of color-coded test information. The method includes receiving a color perception response of the user to the calibrated set of color-coded test information via the host computer. Additionally, the method includes mapping a reduced visual gamut of the user via the host computer using the color perception response, and then commanding adjustment of user-specific color settings of the motor vehicle using the reduced visual gamut to thereby accommodate a color perception deficiency of the user.
-
公开(公告)号：US20240143074A1
公开(公告)日：2024-05-02
申请号：US18489338
申请日：2023-10-18
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ron M. Hecht , Omer Tsimhoni , Dan Levi , Shaul Oron , Andrea Forgacs , Ohad Rahamim , Gershon Celniker
CPC classification number: G06F3/013 , G06T7/50 , G06V10/761 , G06T2207/20084 , G06T2207/20228 , G06V2201/07
Abstract: A method of training a disparity estimation network. The method includes obtaining an eye-gaze dataset having first images with at least one gaze direction associated with each of the first images. A gaze prediction neural network is trained based on the eye-gaze dataset to develop a model trained to provide a gaze prediction for an external image. A depth database is obtained that includes second images having depth information associated with each of the second images. A disparity estimation neural network for object detection is trained based on an output from the gaze prediction neural network and an output from the depth database.
-
公开(公告)号：US11731639B2
公开(公告)日：2023-08-22
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
IPC: B60W50/00 , B60W10/04 , B60W10/20 , B60W10/18 , G06N3/04 , G06N3/08 , G01C21/26 , B60W30/12 , B60W30/14 , B60W30/09 , B60W30/18
CPC classification number: B60W50/0097 , B60W10/04 , B60W10/18 , B60W10/20 , G06N3/04 , G06N3/08 , B60W30/09 , B60W30/12 , B60W30/14 , B60W30/18163 , G01C21/26
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.
-
Patent Agency Ranking
公开(公告)号：US11562576B2
公开(公告)日：2023-01-24
申请号：US16985377
申请日：2020-08-05
Applicant: GM Global Technology Operations LLC
Inventor： Michael Baitaxe , Dan Levi , Omer Tsimhoni
Abstract: A system and method to adjust an augmented reality (AR) image involve a front-facing camera in a vehicle. The camera obtains an image that includes a road surface ahead of the vehicle. The system also includes a processor to detect lane lines of the road surface in three dimensions, to perform interpolation using the lane lines to determine a ground plane of the road surface, and to adjust the AR image to obtain an adjusted AR image such that all points of the adjusted AR image correspond with points on the ground plane.
-
公开(公告)号：US20200334478A1
公开(公告)日：2020-10-22
申请号：US16385484
申请日：2019-04-16
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ron M. Hecht , Ariel Telpaz , Kobi Nistel , Tzvi Philipp , Michael Baltaxe , Dan Levi
Abstract: An occupant monitoring apparatus is provided. The apparatus includes a laser illuminator configured to emit a laser to illuminate an occupant; and a sensor configured to generate an image of the occupant illuminated by the laser.
-
28.发明申请公开(公告)号：US20190012548A1
公开(公告)日：2019-01-10
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
CPC classification number: G06K9/00791 , G06K9/00805 , G06K9/6267 , G06T7/11 , G06T7/73 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252 , G06T2207/30261
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.
-
公开(公告)号：US20160224852A1
公开(公告)日：2016-08-04
申请号：US15006763
申请日：2016-01-26
Inventor： Francisco Vicente , Zehua Huang , Xuehan Xiong , Fernando De La Torre , Wende Zhang , Dan Levi , Debbie E. Nachtegall
CPC classification number: G06K9/00845 , B60Q9/00 , G06K9/00268 , G06K9/0061 , G06T7/75 , G06T2207/30201 , G06T2207/30268
Abstract: A method for monitoring a vehicle operator can be executed by a controller and includes the following steps: (a) receiving image data of a vehicle operator's head; (b) tracking facial feature points of the vehicle operator based on the image data; (c) creating a 3D model of the vehicle operator's head based on the facial feature points in order to determine a 3D position of the vehicle operator's head; (d) determining a gaze direction of the vehicle operator based on a position of the facial feature points and the 3D model of the vehicle operator's head; (e) determining a gaze vector based on the gaze direction and the 3D position of the vehicle operator's head; and (f) commanding an indicator to activate when the gaze vector is outside a predetermined parameter.
Abstract translation: 用于监视车辆操作者的方法可以由控制器执行，并且包括以下步骤：（a）接收车辆驾驶员头部的图像数据; （b）基于图像数据跟踪车辆操作者的面部特征点; （c）基于面部特征点创建车辆驾驶员头部的3D模型，以便确定车辆驾驶员头部的3D位置; （d）基于所述面部特征点和所述车辆驾驶员头部的3D模型的位置确定所述车辆驾驶员的视线方向; （e）基于车辆驾驶员头部的注视方向和3D位置确定注视向量; 和（f）当注视矢量在预定参数之外时命令指示器激活。
-
公开(公告)号：US09230180B2
公开(公告)日：2016-01-05
申请号：US14041105
申请日：2013-09-30
Inventor： Wende Zhang , Dan Levi , Debbie E. Nachtegall , Fernando De la Torre , Franscisco Vicente
IPC: G06K9/00
CPC classification number: G06K9/00845
Abstract: A method for determining an Eyes-Off-The-Road (EOTR) condition exists includes capturing image data corresponding to a driver from a monocular camera device. A detection of whether the driver is wearing eye glasses based on the image data using an eye glasses classifier. When it is detected that the driver is wearing eye glasses, a driver face location is detected from the captured image data and it is determined whether the EOTR condition exists based on the driver face location using an EOTR classifier.
Abstract translation: 存在一种用于确定眼睛偏离（EOTR）条件的方法，包括从单目相机装置捕获与驾驶员对应的图像数据。 基于使用眼镜分类器的图像数据来检测驾驶员是否佩戴眼镜。 当检测到驾驶员佩戴眼镜时，从捕获的图像数据中检测驾驶者面部位置，并且使用EOTR分类器基于驾驶员面部位置来确定是否存在EOTR条件。
-
-
-
-
-
-
-
-
-
Search Results
52
records
(took 0.019 seconds)
