Visually-oriented driving directions in digital mapping system
    2.
    发明授权
    Visually-oriented driving directions in digital mapping system 有权
    数字地图系统视觉导向驾驶方向

    公开(公告)号:US07831387B2

    公开(公告)日:2010-11-09

    申请号:US11181386

    申请日:2005-07-13

    IPC分类号: G01C21/32

    摘要: Digital mapping techniques are disclosed that provide visually-oriented information to the user, such as driving directions that include visual data points along the way of the driving route, thereby improving the user experience. The user may preview the route associated with the driving directions, where the preview is based on, for example, at least one of satellite images, storefront images, and heuristics and/or business listings.

    摘要翻译: 公开了向用户提供面向视觉信息的数字映射技术,例如包括沿着驾驶路线的视觉数据点的行驶方向,从而改善用户体验。 用户可以预览与驾驶方向相关联的路线,其中预览基于例如卫星图像,店面图像和启发式和/或商业列表中的至少一个。

    Adaptive and Personalized Navigation System
    3.
    发明申请
    Adaptive and Personalized Navigation System 有权
    自适应和个性化导航系统

    公开(公告)号:US20090192705A1

    公开(公告)日:2009-07-30

    申请号:US12414461

    申请日:2009-03-30

    IPC分类号: G01C21/36

    摘要: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

    摘要翻译: 公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。 作为用户驱动,模型被开发和维护,以学习或以其他​​方式捕获驾驶员的个人驾驶习惯和偏好。 示例模型包括道路速度,危险,有利的路线和不利的路线模型。 也可以使用其他属性,无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。 可以在明确的条件(例如,日/时间的时间,驾驶员ID)和/或在隐式条件(例如,天气,驾驶员紧急性,从传感器数据推断)下学习模型。 因此,可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。 属性可以根据用户偏好加权。 属性权重和/或模型可用于为用户选择最佳路由。

    Generating attribute models for use in adaptive navigation systems
    4.
    发明授权
    Generating attribute models for use in adaptive navigation systems 有权
    生成适用于自适应导航系统的属性模型

    公开(公告)号:US07996345B2

    公开(公告)日:2011-08-09

    申请号:US12724073

    申请日:2010-03-15

    IPC分类号: G06N5/00

    CPC分类号: G01C21/3484

    摘要: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

    摘要翻译: 公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。 作为用户驱动,模型被开发和维护,以学习或以其他​​方式捕获驾驶员的个人驾驶习惯和偏好。 示例模型包括道路速度,危险,有利的路线和不利的路线模型。 也可以使用其他属性,无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。 可以在明确的条件(例如,日/时间的时间,驾驶员ID)和/或在隐式条件(例如,天气,驾驶员紧急性,从传感器数据推断)下学习模型。 因此,可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。 属性可以根据用户偏好加权。 属性权重和/或模型可用于为用户选择最佳路由。

    Generating attribute models for use in adaptive navigation systems
    5.
    发明授权
    Generating attribute models for use in adaptive navigation systems 有权
    生成适用于自适应导航系统的属性模型

    公开(公告)号:US07680749B1

    公开(公告)日:2010-03-16

    申请号:US11556128

    申请日:2006-11-02

    IPC分类号: G06N5/00

    CPC分类号: G01C21/3484

    摘要: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

    摘要翻译: 公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。 作为用户驱动,模型被开发和维护,以学习或以其他​​方式捕获驾驶员的个人驾驶习惯和偏好。 示例模型包括道路速度,危险,有利的路线和不利的路线模型。 也可以使用其他属性,无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。 可以在明确的条件(例如,日/时间的时间,驾驶员ID)和/或在隐式条件(例如,天气,驾驶员紧急性,从传感器数据推断)下学习模型。 因此,可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。 属性可以根据用户偏好加权。 属性权重和/或模型可用于为用户选择最佳路由。

    Adaptive and personalized navigation system
    6.
    发明授权
    Adaptive and personalized navigation system 有权
    自适应和个性化导航系统

    公开(公告)号:US07512487B1

    公开(公告)日:2009-03-31

    申请号:US11556120

    申请日:2006-11-02

    IPC分类号: G01C21/00 G01C21/30

    摘要: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

    摘要翻译: 公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。 作为用户驱动,模型被开发和维护,以学习或以其他​​方式捕获驾驶员的个人驾驶习惯和偏好。 示例模型包括道路速度,危险,有利的路线和不利的路线模型。 也可以使用其他属性,无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。 可以在明确的条件(例如,日/时间的时间,驾驶员ID)和/或在隐式条件(例如,天气,驾驶员紧急性,从传感器数据推断)下学习模型。 因此,可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。 属性可以根据用户偏好加权。 属性权重和/或模型可用于为用户选择最佳路由。

    Adaptive and personalized navigation system
    7.
    发明授权
    Adaptive and personalized navigation system 有权
    自适应和个性化导航系统

    公开(公告)号:US08682574B2

    公开(公告)日:2014-03-25

    申请号:US12414461

    申请日:2009-03-30

    IPC分类号: G01C21/00

    摘要: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

    摘要翻译: 公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。 作为用户驱动,模型被开发和维护,以学习或以其他​​方式捕获驾驶员的个人驾驶习惯和偏好。 示例模型包括道路速度,危险,有利的路线和不利的路线模型。 也可以使用其他属性,无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。 可以在明确的条件(例如,日/时间的时间,驾驶员ID)和/或在隐式条件(例如,天气,驾驶员紧急性,从传感器数据推断)下学习模型。 因此,可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。 属性可以根据用户偏好加权。 属性权重和/或模型可用于为用户选择最佳路由。

    GENERATING ATTRIBUTE MODELS FOR USE IN ADAPTIVE NAVIGATION SYSTEMS
    8.
    发明申请
    GENERATING ATTRIBUTE MODELS FOR USE IN ADAPTIVE NAVIGATION SYSTEMS 有权
    生成自适应导航系统中使用的属性模型

    公开(公告)号:US20100174479A1

    公开(公告)日:2010-07-08

    申请号:US12724073

    申请日:2010-03-15

    IPC分类号: G01C21/26

    CPC分类号: G01C21/3484

    摘要: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

    摘要翻译: 公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。 作为用户驱动,模型被开发和维护,以学习或以其他​​方式捕获驾驶员的个人驾驶习惯和偏好。 示例模型包括道路速度,危险,有利的路线和不利的路线模型。 也可以使用其他属性,无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。 可以在明确的条件(例如,日/时间的时间,驾驶员ID)和/或在隐式条件(例如,天气,驾驶员紧急性,从传感器数据推断)下学习模型。 因此,可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。 属性可以根据用户偏好加权。 属性权重和/或模型可用于为用户选择最佳路由。

    Digital Mapping System
    10.
    发明申请
    Digital Mapping System 有权
    数字映射系统

    公开(公告)号:US20110137766A1

    公开(公告)日:2011-06-09

    申请号:US13027984

    申请日:2011-02-15

    IPC分类号: G06Q30/00

    摘要: Various methods, systems, and apparatus for implementing aspects of a digital mapping system are disclosed. One such method includes sending a location request from a client-side computing device to a map tile server, receiving a set of map tiles in response to the location request, assembling said received map tiles into a tile grid, aligning the tile grid relative to a clipping shape, and displaying the result as a map image. One apparatus according to aspects of the present invention includes means for sending a location request from a client-side computing device to a map tile server, means for receiving a set of map tiles in response to the location request, means for assembling said received map tiles into a tile grid, means for aligning the tile grid relative to a clipping shape, and means for displaying the result as a map image. Such an apparatus may further include direction control or zoom control objects as interactive overlays on the displayed map image, and may also include route or location overlays on the map image.

    摘要翻译: 公开了用于实现数字地图系统方面的各种方法,系统和装置。 一种这样的方法包括将位置请求从客户端计算设备发送到地图瓦片服务器,响应于位置请求接收一组地图瓦片,将所接收的地图瓦片组装成瓦片格栅,将瓦片格栅相对于 剪切形状,并将结果显示为地图图像。 根据本发明的方面的一种装置包括用于将位置请求从客户端计算设备发送到地图瓦片服务器的装置,用于响应于位置请求接收一组地图瓦片的装置,用于组装所述接收的地图的装置 将瓦片切成瓷砖格栅,用于使瓦片格栅相对于裁切形状对准的装置,以及用于将结果显示为地图图像的装置。 这样的装置还可以包括作为显示的地图图像上的交互叠加的方向控制或变焦控制对象,并且还可以包括地图图像上的路线或位置叠加。