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    • 3. 发明申请
    • SENSING AND ANALYSIS OF AMBIENT CONTEXTUAL SIGNALS FOR DISCRIMINATING BETWEEN INDOOR AND OUTDOOR LOCATIONS
    • 用于区分室内和室外位置的环境信号的感知和分析
    • US20070085673A1
    • 2007-04-19
    • US11558410
    • 2006-11-09
    • John KrummEric HorvitzRamaswamy Hariharan
    • John KrummEric HorvitzRamaswamy Hariharan
    • G08B19/00G08B21/00
    • G01W1/17H04M1/72569Y02D70/142Y02D70/144Y02D70/164
    • Methods and systems that determine automatically the likelihood that a device is inside or outside of a structure or building. The system uses one or more sensors to detect ambient conditions, and make the determination. The inference can be used to save power or suppress services from certain devices, which are irrelevant, cannot be used effectively, or do not function under certain circumstances. In support thereof, the system includes one or more context sensors that measure parameters associated probabilistically with the context of a device. A context computing component considers one or more context sensors and facilitates determination of ideal actions, policies, and situations associated with the device. A service provided by the subject invention is the inference from one or more available observations the probability that the device is inside versus outside.
    • 自动确定设备在结构或建筑物内部或外部的可能性的方法和系统。 该系统使用一个或多个传感器来检测环境条件,并进行确定。 推论可以用来节省电力或者抑制某些设备的服务,这些设备是无关紧要的,不能有效地使用,或者在某些情况下不起作用。 为了支持它,系统包括一个或多个上下文传感器,其测量与设备的上下文概率性相关联的参数。 上下文计算组件考虑一个或多个上下文传感器并且有助于确定与该设备相关联的理想动作,策略和情形。 由本发明提供的服务是从一个或多个可用观察结果推断设备在内部和外部的概率。
    • 4. 发明申请
    • Learning, storing, analyzing, and reasoning about the loss of location-identifying signals
    • 学习,存储,分析和推理位置识别信号的丢失
    • US20070005243A1
    • 2007-01-04
    • US11171891
    • 2005-06-29
    • Eric HorvitzJohn Krumm
    • Eric HorvitzJohn Krumm
    • G01S1/00
    • G01S19/14G01S19/34
    • A location-centric signal shadow mapping and storing architecture that creates maps where signals, such as GPS, cannot be seen with ease because of natural or synthetic features such as groups of tall buildings. Such maps are used with other information, such as the dynamics of the sensed velocity that had been seen before the loss of the signals, to reason about the location and likely activities being carried out by one or more people. Inferences can be made based on information about organizations and services associated with structures and locations proximal to the locations where signals were lost. Also, such reasoning can be used to turn off or to reduce the power consumed by the receivers of the location information, potentially with the joint use of accelerometers to identify when significant accelerations occur.
    • 以位置为中心的信号阴影映射和存储架构,其创建地图,其中诸如GPS的信号由于自然或合成特征(例如高层建筑群)而不容易看到。 这种地图与其他信息一起使用,例如在信号丢失之前已经看到的感测速度的动态,以及关于一个或多个人执行的位置和可能的活动的理由。 可以基于与信号丢失的位置附近的结构和位置相关联的组织和服务的信息进行推论。 此外,这种推理可以用于关闭或者减少接收机对位置信息消耗的功率,潜在地可以通过联合使用加速度计来识别何时出现重要的加速度。
    • 5. 发明申请
    • METHODS FOR PREDICTING DESTINATIONS FROM PARTIAL TRAJECTORIES EMPLOYING OPEN- AND CLOSED-WORLD MODELING METHODS
    • 采用开放和封闭式世界建模方法的部分波纹管预测目标的方法
    • US20070073477A1
    • 2007-03-29
    • US11426540
    • 2006-06-26
    • John KrummEric Horvitz
    • John KrummEric Horvitz
    • G01C21/00
    • G01C21/3617G01C21/20G01C21/24G01C21/26G01C21/34H04W4/02
    • The claimed subject matter provides systems and/or methods that facilitate inferring probability distributions over the destinations and/or routes of a user, from observations about context and partial trajectories of a trip. Destinations of a trip are based on at least one of a prior and a likelihood based at least in part on the received input data. The destination estimator component can use one or more of a personal destinations prior, time of day and day of week, a ground cover prior, driving efficiency associated with candidate locations, and a trip time likelihood to probabilistically predict the destination. In addition, data gathered from a population about the likelihood of visiting previously unvisited locations and the spatial configuration of such locations may be used to enhance the predictions of destinations and routes.
    • 所要求保护的主题提供了有助于从关于行程的上下文和部分轨迹的观察中推断出用户的目的地和/或路线上的概率分布的系统和/或方法。 旅行的目的地至少部分地基于所接收的输入数据,基于至少一个先验和可能性。 目的地估计器组件可以使用个人目的地中的一个或多个,一天中的一天和一天中的一天,一个地面覆盖先前,与候选位置相关联的驾驶效率,以及概率地预测目的地的行程时间可能性。 此外,从群体收集关于访问以前未访问的位置的可能性的数据以及这些位置的空间配置可以用于增强目的地和路线的预测。
    • 6. 发明申请
    • Recommending location and services via geospatial collaborative filtering
    • 通过地理空间协同过滤推荐位置和服务
    • US20070005419A1
    • 2007-01-04
    • US11171940
    • 2005-06-30
    • Eric HorvitzJohn Krumm
    • Eric HorvitzJohn Krumm
    • G06Q30/00
    • G06Q30/02G06Q30/0241
    • Geospatial collaborative filtering (CF) with spatial (or location) logs and location updates that facilitates recommending location and/or services information to an active user. A location tracking system tracks the user, and is employed in part to determine when the user is associated with the location, if the user pauses at the location and how long the user dwells at the location. Based in part on this data, collaborative filtering of data from others who have visited the location is applied to provide suggestions to the active user. Additionally, new information related to the location, nearby locations, and services can be presented to the user. The information can be related to businesses, weather conditions, what previous users have selected when at that location, and any amount of data desired to be accessed, for example.
    • 具有空间(或位置)日志和位置更新的地理空间协同过滤(CF),有助于向主动用户推荐位置和/或服务信息。 位置跟踪系统跟踪用户,并且被部分地用于确定用户何时与位置相关联,如果用户在该位置停顿,以及用户居住在该位置多长时间。 部分基于此数据,对来自其他访问过的位置的数据进行协同过滤,以向活动用户提供建议。 此外,可以向用户呈现与位置,附近位置和服务相关的新信息。 这些信息可以与企业,天气条件,以前的用户在该位置选择什么,以及任何数量的数据需要被访问有关。
    • 7. 发明申请
    • Sensing and analysis of ambient contextual signals for discriminating between indoor and outdoor locations
    • 环境信息的感测和分析,用于区分室内和室外位置
    • US20060167647A1
    • 2006-07-27
    • US10994550
    • 2004-11-22
    • John KrummEric HorvitzRamaswamy Hariharan
    • John KrummEric HorvitzRamaswamy Hariharan
    • G01K1/00
    • G01W1/17H04M1/72569Y02D70/142Y02D70/144Y02D70/164
    • Methods and systems that determine automatically the likelihood that a device is inside or outside of a structure or building. The system uses one or more sensors to detect ambient conditions, and make the determination. The inference can be used to save power or suppress services from certain devices, which are irrelevant, cannot be used effectively, or do not function under certain circumstances. In support thereof, the system includes one or more context sensors that measure parameters associated probabilistically with the context of a device. A context computing component considers one or more context sensors and facilitates determination of ideal actions, policies, and situations associated with the device. A service provided by the subject invention is the inference from one or more available observations the probability that the device is inside versus outside.
    • 自动确定设备在结构或建筑物内部或外部的可能性的方法和系统。 该系统使用一个或多个传感器来检测环境条件,并进行确定。 推论可以用来节省电力或者抑制某些设备的服务,这些设备是无关紧要的,不能有效地使用,或者在某些情况下不起作用。 为了支持它,系统包括一个或多个上下文传感器,其测量与设备的上下文概率性相关联的参数。 上下文计算组件考虑一个或多个上下文传感器并且有助于确定与该设备相关联的理想动作,策略和情形。 由本发明提供的服务是从一个或多个可用观察结果推断设备在内部和外部的概率。
    • 10. 发明授权
    • Routing, alerting, and transportation guidance based on preferences and learned or inferred risks and desirabilities
    • 基于偏好和学习或推断的风险和需求的路由,警报和交通指导
    • US09086292B2
    • 2015-07-21
    • US12493131
    • 2009-06-26
    • Eric HorvitzJohn Krumm
    • Eric HorvitzJohn Krumm
    • G01C21/34G01C21/00G01C21/36
    • G01C21/3484G01C21/3697
    • Techniques and systems are disclosed that provide a risk-based assessment for a user based on user location information. Incident data is acquired for incidents that involve potential risks (e.g., to people and/or property) from a plurality of locations and contexts, considering such factors as date, time, weather, traffic, and velocity. The incident data is matched to the user's location and context directly or indirectly to provide one or more potential outcomes of interest (e.g., accidents, injuries, fatalities), and inferences regarding the likelihood of events are made available. These measures are compared to desired risk thresholds for the user. In one embodiment, routes, times, and conditions of travel may be preferred over others routes, times, and conditions. In another embodiment, users may be notified of a condition or a vehicle's maximum velocity may be reduced when the matched incident data meets/exceeds a user's risk threshold.
    • 公开了基于用户位置信息为用户提供基于风险的评估的技术和系统。 考虑到诸如日期,时间,天气,交通和速度等因素,从多个位置和情境中获取涉及潜在风险(例如对人和/或财产)的事件的事件数据。 事件数据与用户的位置和环境直接或间接地匹配,以提供一个或多个潜在的感兴趣的结果(例如,事故,伤害,死亡),并且关于事件的可能性可用的推论。 将这些措施与用户的期望风险阈值进行比较。 在一个实施例中,旅行的路线,时间和条件可能优于其他路线,时间和条件。 在另一个实施例中,可以向用户通知条件,或者当匹配的事件数据满足/超过用户的风险阈值时,可以减少车辆的最大速度。