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    Systems and methods for creating an aerial image
    15.
    发明授权
    Systems and methods for creating an aerial image 有权
    用于创建航空图像的系统和方法

    公开(公告)号：US09449227B2

    公开(公告)日：2016-09-20

    申请号：US14150147

    申请日：2014-01-08

    Applicant: HERE Global B.V.

    Inventor： Xin Chen ,  Roman Ostrovskiy ,  Xiang Ma

    IPC: G06K9/00 ,  G06T17/05 ,  G06T19/20 ,  G01S17/89

    CPC classification number: G06K9/0063 ,  G01S17/89 ,  G06T17/05 ,  G06T19/20 ,  G06T2210/56 ,  G06T2219/2012

    Abstract: Systems/apparatuses and methods are provided for creating aerial images. A three-dimensional point cloud image is generated from an optical distancing system. Additionally, at least one two-dimensional street level image is generated from at least one camera. The three-dimensional point cloud image is colorized with the at least one two-dimensional street level image, thereby forming a colorized three-dimensional point cloud image. The colorized three-dimensional point cloud image is projected onto a two-dimensional plane, using a processor, thereby forming a synthetic aerial image.

    Abstract translation: 提供用于创建航空图像的系统/装置和方法。 从光学距离系统产生三维点云图像。 另外，至少一个二维街道图像从至少一个照相机产生。 利用至少一个二维街道图像对三维点云图像进行着色，由此形成着色的三维点云图像。 着色的三维点云图像使用处理器投影到二维平面上，从而形成合成的空间图像。

    Learning Lanes From Radar Data
    16.
    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

    Applicant: HERE Global B.V.

    Inventor： Xin Chen ,  Di Ma ,  Xiang Ma ,  Roman Ostrovskiy ,  Vladimir Zhukov ,  Xiaotao Zou

    IPC: G08G1/16 ,  G01S13/06

    CPC classification number: G08G1/167 ,  G01S13/931 ,  G01S15/931 ,  G01S17/936 ,  G01S2013/9353 ,  G01S2013/9357 ,  G01S2013/9364 ,  G01S2013/9367 ,  G08G1/0112 ,  G08G1/0133 ,  G08G1/0141 ,  G08G1/165

    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。

    Lane Level Traffic
    18.
    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

    Applicant: HERE Global B.V.

    Inventor： Xin Chen ,  Xiang Ma ,  Roman Ostrovskiy ,  Terence Zhao

    IPC: G06K9/00 ,  G06T17/05 ,  G08G1/01

    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。

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