SYSTEMS AND METHODS FOR CLASSIFYING DRIVER BEHAVIOR

    公开(公告)号:US20200074326A1

    公开(公告)日:2020-03-05

    申请号:US16559711

    申请日:2019-09-04

    Abstract: Data processing techniques and systems for processing telematics data associated with a vehicle, such as an automobile, to classify how the vehicle is being operated by a driver. The telematics data can include the use of image data captured by a camera of the vehicle. The image data is processed in conjunction with vehicular telematics data such as position, speed, and acceleration data of the vehicle obtained from, for example, smartphone sensors. The image data is processed and used by a processing system to provide a context for the telematics data. The image data and the telematics data are classified by the processing system to identify driving behavior of the driver, determine driving maneuvers that have occurred, scoring driving quality of the driver, or a combination of them.

    Inference of vehicular trajectory characteristics with personal mobile devices
    23.
    发明授权
    Inference of vehicular trajectory characteristics with personal mobile devices 有权
    用个人移动设备推断车辆轨迹特征

    公开(公告)号:US09228836B2

    公开(公告)日:2016-01-05

    申请号:US13832456

    申请日:2013-03-15

    CPC classification number: G01C15/00 G01C21/10 G01C21/165 G01C21/20 G01P15/0891

    Abstract: Accurate longitudinal acceleration, lateral acceleration (perpendicular to the principal direction of motion, and velocity, is inferred by processing raw data from a commodity three-axis accelerometer that may be oriented arbitrarily in a moving vehicle (or carried by a moving user), and whose orientation and position may change arbitrarily during the motion. The approach is applicable to a range of applications, including insurance telematics, driver behavior and risk assessment, and road surface quality assessment.

    Abstract translation: 精确的纵向加速度,横向加速度(垂直于主要运动方向和速度)通过处理可能在移动车辆(或由移动用户携带)中任意定向的商品三轴加速度计的原始数据来推断,以及 其方向和位置可能在运动过程中任意变化,该方法适用于一系列应用,包括保险远程信息处理,驾驶员行为和风险评估以及路面质量评估。

    TELEMATICS USING PERSONAL MOBILE DEVICES
    24.
    发明申请
    TELEMATICS USING PERSONAL MOBILE DEVICES 审中-公开
    使用个人移动设备的电话

    公开(公告)号:US20150300827A1

    公开(公告)日:2015-10-22

    申请号:US14647638

    申请日:2013-06-04

    Abstract: An approach to telematics using mobile devices provides battery-efficient trajectory and mileage inference from inaccurate and intermittent location data. Accurate trajectories of how users or vehicles move in the physical world are formed by processing raw position estimates obtained from noisy, inaccurate, and error-prone position sensors on mobile devices, where the position data may also arrive intermittently with long time gaps. The trajectory is formed using the process of map matching, which determines the trajectory on a map that best explains the sequence of position observations.

    Abstract translation: 使用移动设备的远程信息处理方法通过不精确和间歇的位置数据提供电池有效的轨迹和里程推理。 用户或车辆在物理世界中移动的准确轨迹是通过处理从移动设备上的噪声,不准确和易错位置传感器获得的原始位置估计来形成的,其中位置数据也可能间断地长时间间隔地到达。 使用地图匹配的过程形成轨迹,该过程确定地图上的轨迹,最能解释位置观测序列。

    INFERENCE OF VEHICULAR TRAJECTORY CHARACTERISTICS WITH PERSONAL MOBILE DEVICES
    25.
    发明申请
    INFERENCE OF VEHICULAR TRAJECTORY CHARACTERISTICS WITH PERSONAL MOBILE DEVICES 有权
    带有个人移动设备的车辆行驶特性的研究

    公开(公告)号:US20140278206A1

    公开(公告)日:2014-09-18

    申请号:US13832456

    申请日:2013-03-15

    CPC classification number: G01C15/00 G01C21/10 G01C21/165 G01C21/20 G01P15/0891

    Abstract: Accurate longitudinal acceleration, lateral acceleration (perpendicular to the principal direction of motion, and velocity, is inferred by processing raw data from a commodity three-axis accelerometer that may be oriented arbitrarily in a moving vehicle (or carried by a moving user), and whose orientation and position may change arbitrarily during the motion. The approach is applicable to a range of applications, including insurance telematics, driver behavior and risk assessment, and road surface quality assessment.

    Abstract translation: 精确的纵向加速度,横向加速度(垂直于主要运动方向和速度)通过处理可能在移动车辆(或由移动用户携带)中任意定向的商品三轴加速度计的原始数据来推断,以及 其方向和位置可能在运动过程中任意变化,该方法适用于一系列应用,包括保险远程信息处理,驾驶员行为和风险评估以及路面质量评估。

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