Method and apparatus of selective sensing mechanism in vehicular crowd-sensing system

    公开(公告)号:US10166991B1

    公开(公告)日:2019-01-01

    申请号:US15828509

    申请日:2017-12-01

    Abstract: Systems and method are provided for implementing selective crowd sourcing. In one embodiment, a processor-implemented method for obtaining data from vehicles includes calculating a greedy parameter value for each of a plurality of vehicles in a geographical area; selecting no more than a predetermined number of the plurality of vehicles having a greedy parameter value in a greedy parameter threshold range; instructing the selected vehicles to transmit data while in the geographical area; and receiving the data from the selected vehicles. In another embodiment, a vehicle including a crowd sourcing selection module is provided. The crowd sourcing selection module is configured to retrieve consensus information from a central repository; calculate greedy parameter information regarding the vehicle using the consensus information; and determine whether to transmit an event observation to the central repository based on the greedy parameter information.

    Systems and methods for determining network access point locations

    公开(公告)号:US09769606B2

    公开(公告)日:2017-09-19

    申请号:US14722566

    申请日:2015-05-27

    CPC classification number: H04W4/023 H04W4/046

    Abstract: A positioning method for a mobile platform includes acquiring GPS position data associated with the mobile platform from a plurality of GPS satellites observable by the mobile platform. A set of wireless range measurements associated with the mobile platform and a plurality of wireless access points in communication with the mobile platform are received (e.g., via time-of-flight measurements). Wireless position data associated with the plurality of wireless access points is received from a server communicatively coupled to the mobile platform over a network. A corrected position of the mobile platform based on the wireless position data, the wireless range measurements, and the GPS position data.

    HARDWARE-SHARING BETWEEN A VEHICLE SYSTEM AND ADD-ON DEVICE USING CUSTOMIZED MIDDLEWARE

    公开(公告)号:US20170262301A1

    公开(公告)日:2017-09-14

    申请号:US15483737

    申请日:2017-04-10

    CPC classification number: G06F9/4411 H04L67/12 H04L67/42

    Abstract: A vehicle system virtualizing add-on device hardware for a vehicle application. The system includes a computer-readable storage device comprising a client application, middleware components, kernel-space components, and a vehicle application. The client application communicates with an add-on-device server application for virtualizing the add-on-device hardware component at the vehicle. The middleware, in various embodiments, includes an emulated system-call application-program-interface module that receives add-on-device-hardware data from the client application, sends the data to the kernel-space components after processing, and receives the data having been processed at the kernel space. The middleware includes a frameworks-and-abstraction module that receives add-on-device-hardware data, having been processed at the kernel space and the emulated system-call-application-program-interface module and after processing sends the data for use at the vehicle application. In some implementations the middleware and kernel space includes universal-serial-bus components configured to emulate analogous components of the add-on device.

    Carpool finder assistance
    75.
    发明授权

    公开(公告)号:US09612127B2

    公开(公告)日:2017-04-04

    申请号:US14341010

    申请日:2014-07-25

    CPC classification number: G01C21/3438 G06Q10/02

    Abstract: A method of determining ride share compatibility. Vehicle data acquisition devices are employed to collect user attribute information relating to a travel route and locations traveled by the operator. The attribute information includes regularity data, frequency data, and duration data. A regression analysis is applied by a processor for using the regularity data, the frequency data, and the duration data, for identifying an importance probability of each of the locations visited by the operator. A match is determined between the operator and a potential travel partner traveling to locations in proximity to the locations traveled by the operator.

    Method and apparatus of user recommendation system for in-vehicle apps
    78.
    发明授权
    Method and apparatus of user recommendation system for in-vehicle apps 有权
    用于车载应用的用户推荐系统的方法和装置

    公开(公告)号:US09430476B2

    公开(公告)日:2016-08-30

    申请号:US14210047

    申请日:2014-03-13

    Abstract: A method and system for recommending applications to users of in-vehicle infotainment systems are disclosed. Application rating data from many road vehicle infotainment system users are collected on a central server, including both explicit ratings and implicit ratings. Implicit ratings may be calculated based on application usage data. The user/application rating data is filtered for relevance, and then analyzed to determine inferred ratings for user/application relationships where no rating exists. The inferred ratings are calculated using both a user-driven consensus rating calculation and an application-driven consensus rating calculation. The inferred ratings, along with optional cyberspace-based external inputs, are used to synthesize application recommendations for users. The synthesized recommendations for application consideration are provided to the appropriate user via downloading from the central server to the infotainment system in the user's vehicle.

    Abstract translation: 公开了一种用于向车载信息娱乐系统的用户推荐应用的方法和系统。 来自许多道路车辆信息娱乐系统用户的应用等级数据被收集在中央服务器上,包括明确的等级和隐含的等级。 可以根据应用使用情况数据计算隐含评级。 过滤用户/应用程序评级数据的相关性,然后进行分析,以确定不存在评级的用户/应用程序关系的推断评级。 推断的评级是使用用户驱动的一致评级计算和应用程序驱动的一致评级计算来计算的。 推断的评级以及可选的基于网络空间的外部输入被用于综合用户的应用建议。 通过从中央服务器下载到用户车辆中的信息娱乐系统,将合适的应用考虑建议提供给适当的用户。

    USE OF PARTICIPATIVE SENSING SYSTEMS TO ENABLE ENHANCED ROAD FRICTION ESTIMATION
    79.
    发明申请
    USE OF PARTICIPATIVE SENSING SYSTEMS TO ENABLE ENHANCED ROAD FRICTION ESTIMATION 有权
    使用参与式感测系统实现增强道路摩擦力估计

    公开(公告)号:US20160133131A1

    公开(公告)日:2016-05-12

    申请号:US14539803

    申请日:2014-11-12

    Abstract: Methods and systems are disclosed for participative sensing of road friction conditions by vehicles, collection of the friction data from a large number of vehicles by a central server, processing the data to classify friction conditions by roadway and locale, and sending notifications of the friction conditions to vehicles as appropriate. A large number of vehicles use participative sensing systems to identify road friction estimates which are reported to the central server—where the vehicles use sensor data and vehicle dynamic conditions to estimate friction. The central server stores and aggregates the friction data, filters it and ages it. Vehicles requesting advisories from the central server will receive notices of road friction conditions which may be significant based on their location and heading. Driver warnings can be issued for low friction conditions ahead, and automated vehicle systems may also respond to the notices.

    Abstract translation: 公开的方法和系统用于通过车辆的道路摩擦条件的参与感测,通过中央服务器收集大量车辆的摩擦数据,处理数据以通过道路和区域对摩擦条件进行分类,以及发送摩擦条件的通知 适合车辆。 大量的车辆使用参与式感测系统来识别向中央服务器报告的道路摩擦估计,其中车辆使用传感器数据和车辆动态条件来估计摩擦。 中央服务器存储和聚合摩擦数据,对其进行过滤并对其进行老化。 从中央服务机构请求咨询的车辆将收到道路摩擦条件的通知,这些情况可能因其位置和航向而有重大的影响。 驾驶员警告可以在未来的低摩擦条件下发出,自动化车辆系统也可以响应通知。

    METHOD AND APPARATUS OF ADAPTIVE SAMPLING FOR VEHICULAR CROWD SENSING APPLICATIONS
    80.
    发明申请
    METHOD AND APPARATUS OF ADAPTIVE SAMPLING FOR VEHICULAR CROWD SENSING APPLICATIONS 有权
    自适应采样的方法和装置用于车辆感应应用

    公开(公告)号:US20160124976A1

    公开(公告)日:2016-05-05

    申请号:US14531242

    申请日:2014-11-03

    Abstract: A crowd sensing system includes a central entity and remote entities. The remote entities receive queries from the central entity and transmit data to the central entity in response to the query. The sample data obtained from the queried remote entity is analyzed and an average value for the sample data is determined for a current time interval. The central entity determines whether a difference between the average values for the current time interval and a previous time interval is greater than a predetermined threshold. The central entity increases the number of entities in response to the difference being greater than the predetermined threshold, and decreases the respective number of remote entities sampled in response to the difference being less than the predetermined threshold. The central entity queries a number of remote entities in the plurality of regions equal to the adjusted number of samples identified by the central entity.

    Abstract translation: 人群感知系统包括中央实体和远程实体。 远程实体从中央实体接收查询,并响应于查询向数据中心实体发送数据。 从查询的远程实体获得的样本数据被分析,并且针对当前时间间隔确定样本数据的平均值。 中央实体确定当前时间间隔和前一时间间隔的平均值之间的差是否大于预定阈值。 中央实体增加响应于该差异大于预定阈值的实体数量,并且减少响应于该差小于预定阈值而采样的相应数量的远程实体。 中央实体查询多个区域中的多个远程实体,其等于由中央实体识别的经调整的采样数。

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