Glaring reduction for dynamic rearview mirror
    11.
    发明授权
    Glaring reduction for dynamic rearview mirror 有权
    动态后视镜的眩光减少

    公开(公告)号:US09307207B2

    公开(公告)日:2016-04-05

    申请号:US14040952

    申请日:2013-09-30

    CPC classification number: H04N9/045 H04N5/2355

    Abstract: A method for generating a glare-reduced image from images captured by a camera device of a subject vehicle includes obtaining a short-exposure image and a long-exposure image and generating a resulting high dynamic range image based on the short-exposure and long-exposure images. Pixel values are monitored within both the short- and long-exposure images. A light source region is identified within both the short- and long-exposure images based on the monitored pixel values. A glaring region is identified based on the identified light source region and one of calculated pixel ratios and calculated pixel differences between the monitored pixel values of the long- and short-exposure images. The identified glaring region upon the resulting high dynamic range image is modified with the identified light source region within the short-exposure image. The glare-reduced image is generated based on the modified identified glaring region upon the resulting HDR image.

    Abstract translation: 用于通过本车辆的照相机装置拍摄的图像产生眩光减少图像的方法包括:获得短曝光图像和长曝光图像,并且基于短曝光和长曝光图像生成所得到的高动态范围图像, 曝光图像。 在短曝光和长曝光图像中都监视像素值。 基于所监视的像素值,在短曝光和长曝光图像内识别光源区域。 基于所识别的光源区域和计算的像素比率以及长曝光和短曝光图像的监视的像素值之间的计算的像素差异来识别亮度区域。 在所得到的高动态范围图像上的识别的亮度区域用短曝光图像内的所识别的光源区域进行修改。 基于在所得到的HDR图像上修改的识别的亮度区域产生眩光减少的图像。

    ENHANCED FRONT CURB VIEWING SYSTEM
    12.
    发明申请
    ENHANCED FRONT CURB VIEWING SYSTEM 审中-公开
    增强前曲面观察系统

    公开(公告)号:US20140347485A1

    公开(公告)日:2014-11-27

    申请号:US14280395

    申请日:2014-05-16

    Abstract: A system and method for determining when to display frontal curb view images to a driver of a vehicle, and what types of images to display. A variety of factors—such as vehicle speed, GPS/location data, the existence of a curb in forward-view images, and vehicle driving history—are evaluated as potential triggers for the curb view display, which is intended for situations where the driver is pulling the vehicle into a parking spot which is bounded in front by a curb or other structure. When forward curb-view display is triggered, a second evaluation is performed to determine what image or images to display which will provide the best view of the vehicle's position relative to the curb. The selected images are digitally synthesized or enhanced, and displayed on a console-mounted or in-dash display device.

    Abstract translation: 一种用于确定何时向车辆的驾驶员显示正面路缘图视图的系统和方法以及要显示哪些类型的图像。 各种因素 - 例如车辆速度,GPS /位置数据,前视图像中路边的存在以及车辆驾驶历史 - 被评估为用于路边视图显示的潜在触发器,其用于驾驶员 正在将车辆拉到前方由路边或其他结构限制的停车位。 当前向路口视图显示被触发时,执行第二评估以确定要显示什么图像或图像,其将提供相对于路缘石的车辆位置的最佳视图。 选择的图像是数字合成或增强的,并显示在控制台安装或仪表板显示设备上。

    WIDE FOV CAMERA IMAGE CALIBRATION AND DE-WARPING
    14.
    发明申请
    WIDE FOV CAMERA IMAGE CALIBRATION AND DE-WARPING 审中-公开
    宽幅摄像机图像校准和去保修

    公开(公告)号:US20140085409A1

    公开(公告)日:2014-03-27

    申请号:US13843978

    申请日:2013-03-15

    CPC classification number: H04N5/23238

    Abstract: A system and method for providing calibration and de-warping for ultra-wide FOV cameras. The method includes estimating intrinsic parameters such as the focal length of the camera and an image center of the camera using multiple measurements of the near optical axis object points and a pinhole camera model. The method further includes estimating distortion parameters of the camera using an angular distortion model that defines an angular relationship between an incident optical ray passing an object point in an object space and an image point on an image plane that is an image of the object point on the incident optical ray. The method can include a parameter optimization process to refine the parameter estimation.

    Abstract translation: 一种用于为超宽FOV摄像机提供校准和去翘曲的系统和方法。 该方法包括使用近光轴对象点和针孔相机模型的多个测量来估计内在参数,例如相机的焦距和相机的图像中心。 该方法还包括使用角度失真模型来估计摄像机的失真参数,所述角度失真模型限定通过对象空间中的对象点的入射光线和作为对象点的图像的图像平面上的图像点之间的角度关系 入射光线。 该方法可以包括参数优化过程以改进参数估计。

    Domain adaptation for analysis of images

    公开(公告)号:US11113829B2

    公开(公告)日:2021-09-07

    申请号:US16545674

    申请日:2019-08-20

    Abstract: A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module.

    Camera subsystem evaluation using sensor report integration

    公开(公告)号:US10542211B2

    公开(公告)日:2020-01-21

    申请号:US15725947

    申请日:2017-10-05

    Abstract: A method is used to evaluate a camera-related subsystem in a digital network, e.g., aboard a vehicle or fleet, by receiving, via a camera diagnostic module (CDM), sensor reports from the subsystem and possibly from a door sensor, rain/weather sensor, or other sensor. The CDM includes data tables corresponding to subsystem-specific fault modes. The method includes evaluating performance of the camera-related subsystem by comparing potential fault indicators in the received sensor reports to one of the data tables, and determining a pattern of fault indicators in the reports. The pattern is indicative of a health characteristic of the camera-related subsystem. A control action is executed with respect to the digital network in response to the health characteristic, including recording a diagnostic or prognostic code indicative of the health characteristic. The digital network and vehicle are also disclosed.

    METHOD AND APPARATUS FOR MONITORING OF AN AUTONOMOUS VEHICLE

    公开(公告)号:US20190066396A1

    公开(公告)日:2019-02-28

    申请号:US15688467

    申请日:2017-08-28

    Abstract: An autonomic vehicle control system is described, and includes a vehicle spatial monitoring system including a subject spatial sensor that is disposed to monitor a spatial environment proximal to the autonomous vehicle. A controller is in communication with the subject spatial sensor, and the controller includes a processor and a memory device including an instruction set. The instruction set is executable to evaluate the subject spatial sensor, which includes determining first, second, third, fourth and fifth SOH (state of health) parameters associated with the subject spatial sensor, and determining an integrated SOH parameter for the subject spatial sensor based thereupon.

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