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公开(公告)号：US10013507B2
公开(公告)日：2018-07-03
申请号：US14320167
申请日：2014-06-30
Applicant: HERE Global B.V.
IPC: G06F17/50
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.
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公开(公告)号：US20170019684A1
公开(公告)日：2017-01-19
申请号：US15280156
申请日：2016-09-29
Applicant: HERE Global B.V.
Inventor： Roman Ostrovskiy , Xin Chen
IPC: H04N19/597 , H04N19/136
CPC classification number: H04N19/597 , G06K9/52 , H04N19/136 , H04N19/50 , H04N19/593
Abstract: A data set may be compressed by predicting a value for the values of the data set. A comparative value may then be determined between a predicted value and an actual value for the particular points of the data set. The comparators for the particular points of the data set may then be encoded.
Abstract translation: 可以通过预测数据集的值的值来压缩数据集。 然后可以在数据集的特定点的预测值和实际值之间确定比较值。 然后可以对数据集的特定点的比较器进行编码。
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公开(公告)号：US09497478B2
公开(公告)日：2016-11-15
申请号：US14282138
申请日：2014-05-20
Applicant: HERE Global B.V.
Inventor： Roman Ostrovskiy , Xin Chen
IPC: H04N19/50 , H04N19/136 , G06K9/52 , G06T7/00 , H04N19/597 , H04N19/593
CPC classification number: H04N19/597 , G06K9/52 , H04N19/136 , H04N19/50 , H04N19/593
Abstract: A data set may be compressed by predicting a value for the values of the data set. A comparative value may then be determined between a predicted value and an actual value for the particular points of the data set. The comparators for the particular points of the data set may then be encoded.
Abstract translation: 可以通过预测数据集的值的值来压缩数据集。 然后可以在数据集的特定点的预测值和实际值之间确定比较值。 然后可以对数据集的特定点的比较器进行编码。
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44.发明授权公开(公告)号：US09477904B2
公开(公告)日：2016-10-25
申请号：US14153515
申请日：2014-01-13
Applicant: HERE Global B.V.
CPC classification number: G06K9/6202 , G06K9/00637
Abstract: Systems, apparatuses, and methods are provided for refining building alignment in an aerial image. At least one candidate shifting vector and matching score value are determined for a local building. At least one dominant shifting vector is determined for at least one random group of neighboring buildings of the local building. At least one optimized matching score is calculated using the at least one candidate shifting vector for the local building and the at least one dominant shifting vector for the at least one random group of the neighboring buildings. A final shifting vector for the local building is found using the at least one optimized matching score.
Abstract translation: 提供了系统，装置和方法，用于在空中图像中提炼建筑对准。 为本地建筑确定至少一个候选移动向量和匹配得分值。 为本地建筑物的至少一个相邻建筑物的随机组确定至少一个主要移动向量。 使用本地建筑物的至少一个候选移动向量和相邻建筑物的至少一个随机组的至少一个主要移动向量来计算至少一个优化的匹配分数。 使用至少一个优化的匹配分数找到本地建筑物的最终移动向量。
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公开(公告)号：US09424672B2
公开(公告)日：2016-08-23
申请号：US14074384
申请日：2013-11-07
Applicant: HERE Global B.V.
Inventor： Alexandri Gregor Zavodny , Xin Chen
CPC classification number: G06T11/60 , G06T7/30 , G06T2207/10028 , G06T2207/30184
Abstract: An approach is provided to efficiently and accurately process and align of one or more portions of a plurality of data point clouds. A processing platform may cause a segmentation of at least one first geo-registered point cloud and at least one second geo-registered point cloud based, at least in part, on an application of a ground surface threshold to one or more respective points in the at least one first geo-registered point cloud and the at least one second geo-registered point cloud. The processing platform may further cause a processing and/or facilitating a processing of the one or more respective points that are above the ground surface threshold to determine a horizontal offset for a horizontal alignment of the at least one first geo-registered point cloud and the at least one second geo-registered point cloud. The processing platform may also cause a processing and/or facilitating a processing of the one or more respective points that are below the ground surface threshold to determine a vertical offset for a vertical alignment of the at least one first geo-registered point cloud and the at least one second geo-registered point cloud.
Abstract translation: 提供了一种用于有效且准确地处理和对齐多个数据点云的一个或多个部分的方法。 至少部分地，处理平台可以对至少一个第一地理注册点云和至少一个第二地理注册点云进行分割，所述点云至少部分地基于地面阈值的应用到所述点云中的一个或多个相应点 至少一个第一地理登记点云和至少一个第二地理登记点云。 处理平台还可以进一步处理和/或促进处于高于地面阈值的一个或多个相应点的处理，以确定用于所述至少一个第一地理注册点云和 至少一个第二个地理注册点云。 处理平台还可以引起处理和/或促进低于地面阈值的一个或多个相应点的处理，以确定用于所述至少一个第一地理注册点云和第一地理注册点云的垂直对准的垂直偏移 至少一个第二个地理注册点云。
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Patent Agency Ranking
公开(公告)号：US09361797B1
公开(公告)日：2016-06-07
申请号：US14567106
申请日：2014-12-11
Applicant: HERE Global B.V.
Inventor： Xin Chen , Vladimir Zhukov
CPC classification number: G08G1/0112 , G01C7/04 , G08G1/0129 , G08G1/0141
Abstract: Systems, methods, and apparatuses are disclosed for identifying anomalies or changes in road conditions on a roadway location. An initial low rank data matrix of initial vehicle probe data at a plurality of different times for a roadway location is provided, where the initial low rank data matrix represents a baseline of road conditions for the roadway location. A plurality of additional vehicle probe data from at least one vehicle at the roadway location is received. The additional vehicle probe data is added to the initial vehicle probe data of the initial low rank data matrix. The updated data matrix with the compiled probe data is decomposed into a low rank data matrix and a sparse data matrix. A change at the roadway location is identified based on the probe data in the sparse data matrix.
Abstract translation: 公开了用于识别道路位置处的道路状况的异常或变化的系统，方法和装置。 提供了用于道路位置的多个不同时间的初始车辆探测数据的初始低秩数据矩阵，其中初始低秩数据矩阵表示道路位置的道路状况的基线。 接收来自道路位置处的至少一辆车辆的多个附加车辆探测数据。 额外的车辆探测数据被添加到初始低秩数据矩阵的初始车辆探测数据中。 具有编译的探测数据的更新数据矩阵被分解为低秩数据矩阵和稀疏数据矩阵。 基于稀疏数据矩阵中的探测数据识别道路位置的变化。
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47.发明申请Detecting Common Geographic Features in Images Based on Invariant Components 审中-公开基于不变元件检测图像中的常见地理特征公开(公告)号：US20150345955A1
公开(公告)日：2015-12-03
申请号：US14821040
申请日：2015-08-07
Applicant: HERE Global B.V.
Inventor： Xin Chen
CPC classification number: G01C21/30 , B60R1/00 , G01B11/022 , G01C21/32 , G01S17/023 , G06F16/29 , G06F16/583 , G06K9/00798 , G06K9/00818 , G06T17/05 , H04N7/18 , H04N7/181
Abstract: Systems, devices, features, and methods for detecting common geographic features in images, such as, for example, to develop a navigation database are disclosed. For example, a method of detecting a common text pattern, such as for a road or path sign, from collected images includes collecting a plurality of images of geographic areas along a road or path. An image of the plurality of images is selected. Components that correspond to an object about the road or path in the selected image are determined. In one embodiment, the determined components are independent or invariant to scale of the object. The determined components are compared to reference components in a data library. If the determined components substantially match the reference components, the object in the selected image is identified to be a common pattern, such as for a standard road or path sign, corresponding to the reference components in the data library.
Abstract translation: 公开了用于检测图像中的常见地理特征的系统，设备，特征和方法，例如开发导航数据库。 例如，从收集的图像中检测公共文本图案（例如道路或路径符号）的方法包括沿着道路或路径收集多个地理区域的图像。 选择多个图像的图像。 确定对应于所选图像中的道路或路径的对象的组件。 在一个实施例中，所确定的分量对象的尺度是独立的或不变的。 将确定的组件与数据库中的参考组件进行比较。 如果确定的分量基本上与参考分量相匹配，则所选图像中的对象被识别为对应于数据库中的参考分量的公共模式，例如用于标准道路或路标。
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公开(公告)号：US20150341552A1
公开(公告)日：2015-11-26
申请号：US14283566
申请日：2014-05-21
Applicant: HERE Global B.V.
Inventor： Xin Chen , Roman Ostrovskiy
CPC classification number: H04N5/23238 , G06T11/60 , G06T15/00 , G06T17/00 , G06T2210/56
Abstract: Systems, apparatus, and methods are provided for producing an improved panoramic image. A three-dimensional point cloud image is generated from an optical distancing system. Additionally, at least one two-dimensional image is generated from at least one camera. The three-dimensional point cloud image is colorized with the at least one two-dimensional image, thereby forming a colorized three-dimensional point cloud image. An equal area projection panoramic image is synthesized from the colorized three-dimensional point cloud, wherein the panoramic image comprises a plurality of pixels, and each pixel in the plurality of pixels represents a same amount of area.
Abstract translation: 提供了用于产生改进的全景图像的系统，装置和方法。 从光学距离系统产生三维点云图像。 另外，至少一个二维图像从至少一个相机生成。 利用至少一个二维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。 从着色的三维点云合成等面积投影全景图像，其中全景图像包括多个像素，并且多个像素中的每个像素表示相同的面积。
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公开(公告)号：US20150320311A1
公开(公告)日：2015-11-12
申请号：US14275301
申请日：2014-05-12
Applicant: Here Global B.V.
Inventor： Xin Chen , Xinyu Huang
CPC classification number: G06K9/00617 , A61B3/1216 , A61B3/14 , G06K9/036
Abstract: A method, apparatus and computer program product are provided for iris recognition using natural light. A method is provided for receiving, at a user device, a plurality of iris images. The iris images are captured using natural light. The method also includes generating a composite iris ring based on the plurality of iris images, receiving an iris pattern, comparing the composite iris ring to the iris pattern, and determining a match probability based on the comparison of the composite iris ring to the iris pattern.
Abstract translation: 提供了使用自然光进行虹膜识别的方法，装置和计算机程序产品。 提供了一种用于在用户设备处接收多个虹膜图像的方法。 使用自然光捕获虹膜图像。 该方法还包括基于多个虹膜图像生成复合虹膜环，接收虹膜图案，将复合虹膜环与虹膜图案进行比较，以及基于复合虹膜环与虹膜图案的比较来确定匹配概率 。
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公开(公告)号：US20150088466A1
公开(公告)日：2015-03-26
申请号：US14038322
申请日：2013-09-26
Applicant: HERE Global B.V.
IPC: G06F17/50
CPC classification number: G06F17/5004 , G06T17/05 , G06T19/00
Abstract: Structure boundaries may be determined by receiving a plurality of three dimensional (3D) data points representing a geographic area. The 3D data points may be projected into a two dimensional (2D) grid comprised of area elements. A structure boundary may be determined based on an analysis of the area elements.
Abstract translation: 可以通过接收表示地理区域的多个三维（3D）数据点来确定结构边界。 3D数据点可以投影到由区域元素组成的二维（2D）网格中。 可以基于对区域元素的分析来确定结构边界。
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