Learning lanes from vehicle probes

    公开(公告)号:US10262213B2

    公开(公告)日:2019-04-16

    申请号:US14572336

    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 vehicle camera sensors at a road segment, wherein the probe data includes lane marking data on the road segment. Lane markings are identified, to the extent present, for the left and right boundaries of the lane of travel as well as the adjacent lane boundaries to the left and right of the lane of travel. The identified lane markings are coded, wherein solid lane lines, dashed lane lines, and unidentified or non-existing lane lines are differentiated. The coded lane markings are compiled in a database. A number of lanes are predicted at the road segment from the database of coded lane markings.

    Detecting road condition changes from probe data
    2.
    发明授权
    Detecting road condition changes from probe data 有权
    从探测数据中检测路况变化

    公开(公告)号:US09361797B1

    公开(公告)日:2016-06-07

    申请号:US14567106

    申请日:2014-12-11

    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。

    Detecting Road Condition Changes from Probe Data
    3.
    发明申请
    Detecting Road Condition Changes from Probe Data 有权
    从探测数据中检测路况变化

    公开(公告)号:US20160171884A1

    公开(公告)日:2016-06-16

    申请号:US14567106

    申请日:2014-12-11

    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。

    Learning Lanes From Vehicle Probes
    4.
    发明申请
    Learning Lanes From Vehicle Probes 审中-公开
    车辆探头学习车道

    公开(公告)号:US20160167582A1

    公开(公告)日:2016-06-16

    申请号:US14572336

    申请日:2014-12-16

    CPC classification number: G06K9/00798 G08G1/0112

    Abstract: Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from vehicle camera sensors at a road segment, wherein the probe data includes lane marking data on the road segment. Lane markings are identified, to the extent present, for the left and right boundaries of the lane of travel as well as the adjacent lane boundaries to the left and right of the lane of travel. The identified lane markings are coded, wherein solid lane lines, dashed lane lines, and unidentified or non-existing lane lines are differentiated. The coded lane markings are compiled in a database. A number of lanes are predicted at the road segment from the database of coded lane markings.

    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。 探测器数据在道路段从车辆摄像机传感器接收,其中探测数据包括道路段上的车道标记数据。 在行程车道的左边界和右边界以及行车道左侧和右边的相邻车道边界上,确定车道标记。 识别的车道标记被编码,其中实线的车道线,虚线,以及不明或不存在的车道线被区分。 编码的车道标记在数据库中编译。 在编码车道标记的数据库中,在道路段预测了一些车道。

    Version Management for Incrementally Compiled Map Data
    5.
    发明申请
    Version Management for Incrementally Compiled Map Data 有权
    增量编译地图数据的版本管理

    公开(公告)号:US20160275131A1

    公开(公告)日:2016-09-22

    申请号:US14658455

    申请日:2015-03-16

    Abstract: A map developer may maintain multiple versions of a geographic database including map tile data. Map tile data may be organized according to a versioning schema. A server, or an endpoint device in communication with the server, may receive a request for map data for a tile associated with a tile identifier and access a tile compatibility table with the tile identifier. The tile compatible table includes multiple tile version identifiers for the tile indexed by global map version identifiers and returns a compatible tile identifier and a compatible map version in response to the request for map data.

    Abstract translation: 地图开发人员可以维护多个版本的地理数据库,包括地图瓦片数据。 可以根据版本化架构来组织地图瓦片数据。 与服务器通信的服务器或端点设备可以接收对于与瓦片标识符相关联的瓦片的地图数据的请求,并且访问具有瓦片标识符的瓦片兼容性表。 瓦片兼容表包括由全局地图版本标识符索引的瓦片的多个瓦片版本标识符,并响应于对地图数据的请求而返回兼容瓦片标识符和兼容地图版本。

    Learning Lanes From Radar Data
    8.
    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。

    Systems and Methods for Refining an Aerial Image
    9.
    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。

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