公开(公告)号：US07778967B2

公开(公告)日：2010-08-17

申请号：US12031137

申请日：2008-02-14

Applicant: Dmitry Kulakov ,  Yevgen Kamashev ,  Boris Vorobiov

Inventor： Dmitry Kulakov ,  Yevgen Kamashev ,  Boris Vorobiov

IPC: G06F17/30

CPC classification number: G06F17/30241

Abstract: A system and method of providing efficient management of distributed, diversified, large sized spatial data as a scalable solution.The system and method are based on the combination of the following:Distributed spatial data is managed by spatial data servers which are deployed next to each spatial data source that needs to be accessed allowing spatial data to remain in the location where it was created. Spatial data indices allow fast delivery of large spatial data sets and are automatically updated whenever spatial data sets are modified.Spatial meta servers coordinate the spatial data servers, publish the existence of the spatial data, define access permissions and communicate with other spatial meta severs extending the spatial data connectivity into other networks.Spatial data providers deployed next to each location requiring access to the spatial data allow spatial data to be discovered and accessed directly from the spatial data servers.

Abstract translation: 提供有效管理分布式，多样化，大型空间数据作为可扩展解决方案的系统和方法。 系统和方法基于以下组合：分布式空间数据由空间数据服务器管理，空间数据服务器部署在需要访问的每个空间数据源旁边，允许空间数据保留在创建它的位置。 空间数据索引允许快速传送大型空间数据集，并且每当空间数据集被修改时都会自动更新。 空间元服务器协调空间数据服务器，发布空间数据的存在，定义访问权限以及与将空间数据连接扩展到其他网络的其他空间元数据库进行通信。 在需要访问空间数据的每个位置旁边部署的空间数据提供者允许从空间数据服务器直接发现和访问空间数据。

公开(公告)号：US20140125671A1

公开(公告)日：2014-05-08

申请号：US13824101

申请日：2011-09-15

Applicant: Borys Vorobyov ,  Oleksandr Monastyrev ,  Dmitry Kulakov ,  Edmund Cochrane Reeler

Inventor： Borys Vorobyov ,  Oleksandr Monastyrev ,  Dmitry Kulakov ,  Edmund Cochrane Reeler

IPC: G06T17/00

CPC classification number: G06T17/00 ,  G01C11/00 ,  G06K9/00637 ,  G06K9/468 ,  G06T2210/56

Abstract: Systems and methods are provided for extracting features of a building from data having spatial coordinates. The method includes extracting one or more walls and roofs from the data; constructing a building model from the walls and roofs; extracting color data associated with the data and projecting the color data onto the building model; superimposing one or more images onto the building model; applying pattern recognition to extract one or more three-dimensional structural components of the building model; replacing identified three-dimensional structural components with the standard structural elements; comparing subsequent data sets to identify a changed object; and, extracting one or more poles in the building model's vicinity or along the edges of roads.

Abstract translation: 提供的系统和方法用于从具有空间坐标的数据中提取建筑物的特征。 该方法包括从数据中提取一个或多个墙壁和屋顶; 从墙壁和屋顶建造建筑模型; 提取与数据相关联的颜色数据并将颜色数据投影到建筑模型上; 将一个或多个图像叠加到建筑模型上; 应用模式识别来提取建筑模型的一个或多个三维结构组件; 用标准结构要素代替标识的三维结构部件; 比较后续数据集以识别改变的对象; 并且在建筑物模型的附近或沿着道路的边缘提取一个或多个极点。

公开(公告)号：US20130202197A1

公开(公告)日：2013-08-08

申请号：US13703550

申请日：2011-06-10

Applicant: Edmund Cochrane Reeler ,  Kresimir Kusevic ,  Dmitry Kulakov ,  James Andrew Estill ,  Borys Vorobyov ,  Oleksandr Monastyrev ,  Dmytro Gordon ,  Yuriy Monastyrev ,  Andrey Zaretskiy

Inventor： Edmund Cochrane Reeler ,  Kresimir Kusevic ,  Dmitry Kulakov ,  James Andrew Estill ,  Borys Vorobyov ,  Oleksandr Monastyrev ,  Dmytro Gordon ,  Yuriy Monastyrev ,  Andrey Zaretskiy

IPC: G06T15/20 ,  G06F21/10 ,  G06K9/00

CPC classification number: G06T15/20 ,  G01S17/89 ,  G06F21/105 ,  G06K9/00201 ,  G06T1/0007 ,  G06T7/20 ,  G06T17/05 ,  G06T2207/10028 ,  G06T2210/56

Abstract: Systems and methods are provided for extracting various features from data having spatial coordinates. The systems and methods may identify and extract data points from a point cloud, where the data points are considered to be part of the ground surface, a building, or a wire (e.g. power lines). Systems and methods are also provided for enhancing a point cloud using external data (e.g. images and other point clouds), and for tracking a moving object by comparing images with a point cloud. An objects database is also provided which can be used to scale point clouds to be of similar size. The objects database can also be used to search for certain objects in a point cloud, as well as recognize unidentified objects in a point cloud.

Abstract translation: 提供了用于从具有空间坐标的数据中提取各种特征的系统和方法。 系统和方法可以从点云识别和提取数据点，其中数据点被认为是地面，建筑物或线（例如电力线）的一部分。 还提供了系统和方法，用于使用外部数据（例如图像和其他点云）来增强点云，并且通过将图像与点云进行比较来跟踪移动物体。 还提供了一个对象数据库，可用于将点云缩放到相似的大小。 对象数据库也可用于搜索点云中的某些对象，以及识别点云中的不明身份。

公开(公告)号：US20090210426A1

公开(公告)日：2009-08-20

申请号：US12031137

申请日：2008-02-14

Applicant: Dmitry Kulakov ,  Yevgen Kamashev ,  Boris Vorobiov

Inventor： Dmitry Kulakov ,  Yevgen Kamashev ,  Boris Vorobiov

IPC: G06F17/30

CPC classification number: G06F17/30241

Abstract: A system and method of providing efficient management of distributed, diversified, large sized spatial data as a scalable solution.The system and method are based on the combination of the following:Distributed spatial data is managed by spatial data servers which are deployed next to each spatial data source that needs to be accessed allowing spatial data to remain in the location where it was created. Spatial data indices allow fast delivery of large spatial data sets and are automatically updated whenever spatial data sets are modified.Spatial meta servers coordinate the spatial data servers, publish the existence of the spatial data, define access permissions and communicate with other spatial meta severs extending the spatial data connectivity into other networks.Spatial data providers deployed next to each location requiring access to the spatial data allow spatial data to be discovered and accessed directly from the spatial data servers.

Abstract translation: 提供有效管理分布式，多样化，大型空间数据作为可扩展解决方案的系统和方法。 系统和方法基于以下组合：分布式空间数据由空间数据服务器管理，空间数据服务器部署在需要访问的每个空间数据源旁边，允许空间数据保留在创建它的位置。 空间数据索引允许快速传送大型空间数据集，并且每当空间数据集被修改时都会自动更新。 空间元服务器协调空间数据服务器，发布空间数据的存在，定义访问权限以及与将空间数据连接扩展到其他网络的其他空间元数据库进行通信。 在需要访问空间数据的每个位置旁边部署的空间数据提供者允许从空间数据服务器直接发现和访问空间数据。