Method and apparatus for roof type classification and reconstruction based on two dimensional aerial images
    61.
    发明授权
    Method and apparatus for roof type classification and reconstruction based on two dimensional aerial images 有权
    基于二维航空图像的屋顶类型分类和重建方法与装置

    公开(公告)号:US09384398B2

    公开(公告)日:2016-07-05

    申请号:US14301752

    申请日:2014-06-11

    Abstract: A method, apparatus and computer program product are provided for roof type classification and reconstruction based on two dimensional aerial images. In the context of a method, the method includes receiving a roof image, determining a segmentation of the roof image based on cutting lines associated with roof features and classifying roof segments based on roof features within the segment. The classifying roof segments is based on the roof features correlation to a roof type pattern.

    Abstract translation: 提供了一种基于二维航空图像的屋顶类型分类和重建的方法,装置和计算机程序产品。 在方法的上下文中,该方法包括接收屋顶图像,基于与屋顶特征相关联的切割线确定屋顶图像的分割,并基于该段内的屋顶特征对屋顶段进行分类。 分类屋顶段是基于屋顶特征与屋顶类型模式的相关性。

    Learning Lanes From Radar Data
    62.
    发明申请
    Learning Lanes From Radar Data 有权
    从雷达数据学习车道

    公开(公告)号:US20160171893A1

    公开(公告)日:2016-06-16

    申请号:US14572197

    申请日:2014-12-16

    Abstract: Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from radar sensors of vehicles at a road segment, where the probe data includes an identification of static objects and dynamic objects in proximity to the respective vehicles at the road segment, and geographic locations of the static objects and the dynamic objects. A reference point, such as a road boundary, at the road segment is determined from the identified static objects. Lateral distances between the identified dynamic objects and the reference point are calculated. A number of lanes at the road segment are ascertained from a distribution of the calculated distances of the identified dynamic objects from the reference point.

    Abstract translation: 公开了用于根据车辆探测数据确定道路段的车道信息的系统,方法和装置。 从路段的车辆的雷达传感器接收探测数据,其中探测数据包括在道路段附近的相应车辆附近的静态物体和动态物体的标识以及静态物体和动态物体的地理位置。 从所识别的静态对象确定路段上的参考点,例如道路边界。 计算识别的动态对象与参考点之间的横向距离。 根据所识别的动态对象与参考点的距离的分布,确定路段上的多条车道。

    Occlusion resistant image template matching using distance transform
    64.
    发明授权
    Occlusion resistant image template matching using distance transform 有权
    阻塞图像模板匹配使用距离变换

    公开(公告)号:US09349189B2

    公开(公告)日:2016-05-24

    申请号:US14319814

    申请日:2014-06-30

    Inventor: Xi Zhang Xin Chen

    Abstract: A computing device performs matching between a target image and one or more template images. The computing device receives image data and performs an edge detection algorithm on the image data. The edge detection algorithm includes a distance metric based on angles between gradient vectors in the image data and gradient vectors in one or more templates. The computing device matches a building model to the image data based on results of the edge detection algorithm, wherein the building model is associated with the one or more templates.

    Abstract translation: 计算设备执行目标图像与一个或多个模板图像之间的匹配。 计算装置接收图像数据并对图像数据执行边缘检测算法。 边缘检测算法包括基于图像数据中的梯度向量与一个或多个模板中的梯度向量之间的角度的距离度量。 计算设备基于边缘检测算法的结果将建筑模型与图像数据相匹配,其中建筑模型与一个或多个模板相关联。

    Lane Level Traffic
    65.
    发明申请
    Lane Level Traffic 有权
    车道通行

    公开(公告)号:US20160004915A1

    公开(公告)日:2016-01-07

    申请号:US14324797

    申请日:2014-07-07

    CPC classification number: G06K9/00791 G06K9/00785 G06T17/05 G08G1/0104

    Abstract: Lane level traffic levels are determined based on traffic camera images. A controller aligns a three-dimensional map with a traffic camera view, and identifies multiple lanes in the traffic camera view based on lane delineations of the three-dimensional map. The controller calculates a traffic parameter based on the multiple lanes in image frames from the traffic camera view and provides a traffic graphic based on the traffic parameter.

    Abstract translation: 车道级交通等级是基于交通摄像机图像确定的。 控制器将三维地图与交通摄像机视图对齐,并根据三维地图的车道描绘识别交通摄像机视图中的多条车道。 控制器根据来自交通摄像机视图的图像帧中的多个车道计算交通参数,并根据交通参数提供交通图。

    METHOD AND APPARATUS FOR ROOF TYPE CLASSIFICATION AND RECONSTRUCTION BASED ON TWO DIMENSIONAL AERIAL IMAGES
    66.
    发明申请
    METHOD AND APPARATUS FOR ROOF TYPE CLASSIFICATION AND RECONSTRUCTION BASED ON TWO DIMENSIONAL AERIAL IMAGES 有权
    基于两维空间图像的屋顶类型分类和重建方法与装置

    公开(公告)号:US20150363645A1

    公开(公告)日:2015-12-17

    申请号:US14301752

    申请日:2014-06-11

    Abstract: A method, apparatus and computer program product are provided for roof type classification and reconstruction based on two dimensional aerial images. In the context of a method, the method includes receiving a roof image, determining a segmentation of the roof image based on cutting lines associated with roof features and classifying roof segments based on roof features within the segment. The classifying roof segments is based on the roof features correlation to a roof type pattern.

    Abstract translation: 提供了一种基于二维航空图像的屋顶类型分类和重建的方法,装置和计算机程序产品。 在方法的上下文中,该方法包括接收屋顶图像,基于与屋顶特征相关联的切割线确定屋顶图像的分割,并基于该段内的屋顶特征对屋顶段进行分类。 分类屋顶段是基于屋顶特征与屋顶类型模式的相关性。

    Systems and Methods for Refining an Aerial Image
    67.
    发明申请
    Systems and Methods for Refining an Aerial Image 审中-公开
    空中影像精制系统与方法

    公开(公告)号:US20150243073A1

    公开(公告)日:2015-08-27

    申请号:US14191698

    申请日:2014-02-27

    CPC classification number: G06T17/05 G06T17/20 G06T2207/30181

    Abstract: Systems, apparatuses, and methods are provided for refining an aerial image. A plurality of aerial images is received using a processor. The plurality of aerial images is developed into a three-dimensional model. The three-dimensional model is synthesized into an improved orthophoto image. The improved orthophoto image may be stored on a personal computer or workstation as a reference platform.

    Abstract translation: 提供了用于精制空中图像的系统,装置和方法。 使用处理器接收多个空中图像。 多个航空图像被开发成三维模型。 三维模型被合成为改进的正射影像。 改进的正射影像可以作为参考平台存储在个人计算机或工作站上。

    Learning Synthetic Models for Roof Style Classification Using Point Clouds
    68.
    发明申请
    Learning Synthetic Models for Roof Style Classification Using Point Clouds 有权
    使用点云学习屋顶风格分类的合成模型

    公开(公告)号:US20150006117A1

    公开(公告)日:2015-01-01

    申请号:US14320167

    申请日:2014-06-30

    Inventor: Xi Zhang Xin Chen

    CPC classification number: G06F17/5004 G06F17/5009 G06F17/5018 G06K9/00201

    Abstract: Systems, apparatuses, and methods are provided for three-dimensional modeling of building roofs using three-dimensional point cloud data. Point cloud data of a roof of a building is received, and roof data points are selected or extracted from the point cloud data. Semantic type classifications are calculated for each selected roof data point. Roof styles are determined from the semantic type classifications, and a synthetic model of the roof and building is rendered based on the determined roof style.

    Abstract translation: 提供了使用三维点云数据对建筑屋顶进行三维建模的系统,装置和方法。 收到建筑物屋顶的点云数据,并从点云数据中选择或提取屋顶数据点。 为每个选定的屋顶数据点计算语义类型分类。 屋顶风格由语义类型分类确定,屋顶和建筑物的合成模型基于确定的屋顶风格进行渲染。

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