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    • 41. 发明授权
    • Camera auto-calibration by horizon estimation
    • 相机通过水平估计自动校准
    • US08259174B2
    • 2012-09-04
    • US12367305
    • 2009-02-06
    • Wende ZhangSanjeev M. Naik
    • Wende ZhangSanjeev M. Naik
    • H04N7/18H04N5/228G06K9/00
    • G06K9/4647G06T7/73G06T2207/10016G06T2207/20068G06T2207/30256
    • A method for estimating the horizon in an image of a camera to provide camera auto-calibration in the pitch direction. The method includes taking an image of a scene and generating a texture map of the image using horizontal edge detection analysis to locate horizontal edges in the scene. The method also includes providing a motion map by providing image differencing between subsequent images to find areas in the scene with no motion while the vehicle is moving. The texture map and the motion map are combined to identify the areas in the image that do not move and contain horizontal edges. A horizontal projection is generated from the combined map by counting white dots in the map in the horizontal direction. The horizontal projection is smoothed to eliminate noise and the location of the horizon is estimated in the image by identifying the maximum peak in the horizontal projection.
    • 一种用于估计相机图像中的水平线以在俯仰方向上提供相机自动校准的方法。 该方法包括拍摄场景的图像并使用水平边缘检测分析生成图像的纹理图,以定位场景中的水平边缘。 该方法还包括通过在随后的图像之间提供图像差分来提供运动图,以便在车辆运动时无动作地寻找场景中的区域。 组合纹理图和运动图以识别图像中不移动并包含水平边缘的区域。 通过在水平方向上计数地图中的白点,从组合地图生成水平投影。 水平投影被平滑以消除噪声,并且通过识别水平投影中的最大峰值来估计图像中的水平位置。
    • 42. 发明申请
    • Shadow Removal in an Image Captured by a Vehicle-Based Camera Using an Optimized Oriented Linear Axis
    • 使用优化的定向线性轴由基于车辆的相机拍摄的图像中的阴影去除
    • US20120008019A1
    • 2012-01-12
    • US12830513
    • 2010-07-06
    • Wende ZhangQi WuVijayakumar Bhagavatula
    • Wende ZhangQi WuVijayakumar Bhagavatula
    • H04N9/64
    • G06K9/00791G06K9/346G06T5/008G06T7/90G06T2207/10024G06T2207/30252
    • A method is provided for removing an illumination generated shadow in a captured image. Each pixel of the captured input image is plotted on a two dimensional logarithmic graph. A linear axis for the plurality of color sets is determined that is substantially orthogonal to a respective illumination direction of each respective color set. A log-chromaticity value of each plotted pixel is projected on the axis. An orientation of the linear axis is selected to minimize an illumination effect and provide optimum separation between each of the respective color sets on the linear axis. Edges in the input image and illumination invariant image domain are identified. The identified edges of the input image are compared to identify edges in the illumination invariant image domain. A determination is made whether a shadow edge is present in response to the comparison. A shadow-reduced image is generated for scene analysis by a vehicle vision-based system.
    • 提供了一种用于去除拍摄图像中的照明产生阴影的方法。 捕获的输入图像的每个像素绘制在二维对数图上。 确定多个颜色组的线性轴,其基本上与每个相应颜色组的相应照明方向正交。 每个绘制像素的对数色度值投影在轴上。 选择线性轴的取向以最小化照明效果并且在线性轴上的每个相应颜色集之间提供最佳间隔。 识别输入图像和照明不变图像域中的边缘。 将识别的输入图像的边缘进行比较,以识别照明不变图像域中的边缘。 确定响应于比较是否存在阴影边缘。 通过基于车辆视觉的系统生成用于场景分析的阴影缩小图像。
    • 43. 发明申请
    • Adaptive Scene Rendering and V2X Video/Image Sharing
    • 自适应场景渲染和V2X视频/图像共享
    • US20110221901A1
    • 2011-09-15
    • US12721801
    • 2010-03-11
    • Fan BaiWende ZhangCem U. Saraydar
    • Fan BaiWende ZhangCem U. Saraydar
    • H04N7/18G06K9/00
    • H04L69/04H04L67/12H04L67/18H04N19/115H04N19/124H04N19/162
    • A method is provided for video sharing in a vehicle-to-entity communication system. Video data is captured by an image capture device of an event remote from a source entity. A spatial relationship is determined between a location corresponding to the captured event and a location of a remote vehicle. A temporal relationship is determined between a time-stamp of the captured scene data and a current time. A utility value is determined as a function of the spatial relationship and the temporal relationship. A network utilization parameter of a communication network is determined for broadcasting and receiving the scene data. A selected level of compression is applied to the captured scene data as a function of the utility value and available bandwidth. The compressed scene data is transmitted from the source entity to the remote vehicle.
    • 提供了一种用于车对实体通信系统中的视频共享的方法。 视频数据由远离源实体的事件的图像捕获设备捕获。 在与捕获的事件相对应的位置和远程车辆的位置之间确定空间关系。 在捕获的场景数据的时间戳与当前时间之间确定时间关系。 确定效用值作为空间关系和时间关系的函数。 确定通信网络的网络利用率参数用于广播和接收场景数据。 作为效用值和可用带宽的函数,所选择的压缩级别被应用于捕获的场景数据。 压缩场景数据从源实体发送到远程车辆。
    • 46. 发明申请
    • CLEAR PATH DETECTION USING A HIERACHICAL APPROACH
    • 使用高级方法的清除路径检测
    • US20100097456A1
    • 2010-04-22
    • US12581687
    • 2009-10-19
    • Wende ZhangSanjeev M. Naik
    • Wende ZhangSanjeev M. Naik
    • H04N7/18
    • B60W30/09B60W2420/42G06K9/00798G06K9/4652G08G1/165G08G1/166
    • A method for detecting a clear path of travel for a vehicle using an image generated by a camera includes monitoring the image, and utilizing a first patch-based analysis of the image including dividing the image into a plurality of patches, and analyzing each patch to determine a first clear path confidence likelihood for each of the patches of the first patch-based analysis. Each of the patches with the first clear path confidence likelihood greater than a first threshold confidence likelihood is defined as a clear path patch. A second analysis is utilized upon a portion of the patches with the first clear path confidence not greater than the first threshold confidence likelihood to determine a second clear path confidence likelihood for each of the patches of the second analysis. Each of the patches of the second analysis with the second clear path confidence likelihood greater than a second threshold confidence likelihood is defined as a clear path patch. The clear path of travel for the vehicle is identified based upon the clear path patches.
    • 使用由照相机生成的图像来检测车辆的清晰行驶路径的方法包括监视图像,并且利用对图像进行的第一基于补丁的分析,包括将图像分成多个补片,并且将每个补丁分析到 确定第一基于补丁的分析的每个补丁的第一清除路径置信度。 具有大于第一阈值置信度的第一清除路径置信度的每个补丁被定义为清除路径补丁。 利用具有第一清除路径置信度的第一分析被用于不大于第一阈值置信度,以确定第二分析的每个补丁的第二清除路径置信似然。 将具有大于第二阈值置信度的第二清除路径置信度的第二分析的每个补丁定义为清除路径补丁。 基于清晰路径补丁来识别车辆的清晰行驶路径。
    • 47. 发明申请
    • System and Method for detecting pedestrians
    • 用于检测行人的系统和方法
    • US20100021010A1
    • 2010-01-28
    • US12179645
    • 2008-07-25
    • Wende ZhangMark J. Wolski
    • Wende ZhangMark J. Wolski
    • G06K9/00H04N7/18
    • G06K9/00369B60K31/0008G06K9/4647
    • A method is provided for detecting a pedestrian exterior to a vehicle by use of a vehicle-mounted image-based monitoring system. An edge-based pedestrian detection analysis is applied to the input image data to determine an edge-based confidence value of a candidate image area being a pedestrian. A motion-based pedestrian detection analysis is applied to the input image data to determine a motion-based confidence value of a candidate image area being a pedestrian. A final confidence value is obtained by combining the edge-based confidence value and motion-based confidence value using weighting factors that are functions of vehicle speed. The final confidence value is compared to a threshold value for determining whether to generate a warning that a pedestrian may be present in the input image data.
    • 提供一种通过使用车载图像监视系统来检测车辆的行人外观的方法。 对输入图像数据应用基于边缘的行人检测分析,以确定作为行人的候选图像区域的基于边缘的置信度值。 基于运动的行人检测分析被应用于输入图像数据,以确定作为行人的候选图像区域的基于运动的置信度值。 通过使用作为车辆速度的函数的加权因子组合基于边缘的置信度值和基于运动的置信度值来获得最终置信度值。 将最终置信度值与用于确定是否产生行人可能存在于输入图像数据中的警告的阈值进行比较。
    • 50. 发明授权
    • Fusion of obstacle detection using radar and camera
    • 使用雷达和摄像机融合障碍物检测
    • US09429650B2
    • 2016-08-30
    • US13563993
    • 2012-08-01
    • Shuqing ZengWende ZhangBakhtiar Brian Litkouhi
    • Shuqing ZengWende ZhangBakhtiar Brian Litkouhi
    • G01S13/86G01S13/93G06K9/00G06K9/62
    • G01S13/931G01S13/867G06K9/00805G06K9/629
    • A vehicle obstacle detection system includes an imaging system for capturing objects in a field of view and a radar device for sensing objects in a substantially same field of view. The substantially same field of view is partitioned into an occupancy grid having a plurality of observation cells. A fusion module receives radar data from the radar device and imaging data from the imaging system. The fusion module projects the occupancy grid and associated radar data onto the captured image. The fusion module extracts features from each corresponding cell using sensor data from the radar device and imaging data from the imaging system. A primary classifier determines whether an extracted feature extracted from a respective observation cell is an obstacle.
    • 车辆障碍物检测系统包括用于在视野中捕获物体的成像系统和用于在基本相同的视场中感测物体的雷达装置。 基本上相同的视场划分成具有多个观察单元的占用网格。 融合模块从雷达装置接收雷达数据并从成像系统接收成像数据。 融合模块将占用网格和相关的雷达数据投影到捕获的图像上。 融合模块使用来自雷达装置的传感器数据和来自成像系统的成像数据从每个对应的小区中提取特征。 主分类器确定从相应观察单元提取的提取特征是否是障碍物。