DYNAMIC REARVIEW MIRROR DISPLAY FEATURES
    13.
    发明申请
    DYNAMIC REARVIEW MIRROR DISPLAY FEATURES 审中-公开
    动态后视镜显示功能

    公开(公告)号:US20140114534A1

    公开(公告)日:2014-04-24

    申请号:US13835741

    申请日:2013-03-15

    Abstract: A method for displaying a captured image on a display device. A scene is captured by at least one vision-based imaging device. A virtual image of the captured scene is generated by a processor using a camera model. A view synthesis technique is applied to the captured image by the processor for generating a de-warped virtual image. A dynamic rearview mirror display mode is actuated for enabling a viewing mode of the de-warped image on the rearview mirror display device. The de-warped image is displayed in the enabled viewing mode on the rearview mirror display device.

    Abstract translation: 一种用于在显示装置上显示拍摄图像的方法。 由至少一个基于视觉的成像装置拍摄场景。 捕获的场景的虚拟图像由使用相机模型的处理器生成。 视频合成技术被处理器应用于捕获的图像,用于生成去翘曲的虚像。 启动动态后视镜显示模式,以使后视镜显示装置上的去翘曲图像的观看模式能够观看。 逆视图像在后视镜​​显示设备的显示模式下显示。

    Dynamic Rearview Mirror Adaptive Dimming Overlay Through Scene Brightness Estimation
    14.
    发明申请
    Dynamic Rearview Mirror Adaptive Dimming Overlay Through Scene Brightness Estimation 有权
    动态后视镜通过场景亮度估计自适应调光叠加

    公开(公告)号:US20140111637A1

    公开(公告)日:2014-04-24

    申请号:US13962156

    申请日:2013-08-08

    CPC classification number: H04N5/243 B60R1/00 B60R1/088 B60R2300/105

    Abstract: A vehicle imaging system includes an image capture device capturing an image exterior of a vehicle. The captured image includes at least a portion of a sky scene. A processor generates a virtual image of a virtual sky scene from the portion of the sky scene captured by the image capture device. The processor determines a brightness of the virtual sky scene from the virtual image. The processor dynamically adjusts a brightness of the captured image based the determined brightness of the virtual image. A rear view mirror display device displays the adjusted captured image.

    Abstract translation: 车辆成像系统包括捕获车辆外观的图像拍摄装置。 捕获的图像包括天空场景的至少一部分。 处理器从由图像捕获装置捕获的天空场景的部分生成虚拟天空场景的虚拟图像。 处理器从虚拟图像确定虚拟天空场景的亮度。 处理器基于确定的虚拟图像的亮度动态地调整拍摄图像的亮度。 后视镜显示装置显示调整后的拍摄图像。

    Glaring reduction for dynamic rearview mirror
    15.
    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
    16.
    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。

    FULL SPEED LANE SENSING WITH A SURROUNDING VIEW SYSTEM
    18.
    发明申请
    FULL SPEED LANE SENSING WITH A SURROUNDING VIEW SYSTEM 有权
    全速浏览系统

    公开(公告)号:US20130293717A1

    公开(公告)日:2013-11-07

    申请号:US13859628

    申请日:2013-04-09

    CPC classification number: H04N7/181 G06K9/00798

    Abstract: A system and method for providing lane sensing on a vehicle by detecting roadway lane-markers, where the system employs a surround view camera system providing a top-down view image around the vehicle. The method includes detecting left-side and right-side lane boundary lines in the top-down view image, and then determining whether the lane boundary lines in the image are aligned from one image frame to a next image frame and are aligned from image to image in the top-down view image. If the boundary lines are not aligned, then calibration of one or more of the cameras is performed, and if the lines are aligned, then a model fitting process is used to specifically identify the location of the boundary lines on the roadway.

    Abstract translation: 一种用于通过检测道路车道标记来在车辆上提供车道感测的系统和方法,其中系统采用围绕车辆提供俯视图的环绕立体照相机系统。 该方法包括检测自顶向下视图图像中的左侧和右侧车道边界线,然后确定图像中的车道边界线是否从一个图像帧对准到下一个图像帧,并且从图像到 图像在自上而下的视图图像。 如果边界线不对齐,则执行一个或多个相机的校准,并且如果线对齐,则使用模型拟合过程来专门识别道路上的边界线的位置。

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