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    • 2. 发明授权
    • Adaptive vehicle control system with driving style recognition based on headway distance
    • 基于车头距离的驾驶风格识别的自适应车辆控制系统
    • US08280560B2
    • 2012-10-02
    • US12179013
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • G06F7/00G06F7/70G08G1/16G01P15/00
    • B60W30/12B60W40/09B60W2540/30B60W2550/30B60W2550/302B60W2550/308
    • An adaptive vehicle control system that classifies a drivers driving style based on vehicle headway control. The system reads sensor signals to identify the range and range rate between a subject vehicle and a preceding vehicle, where the range rate is close to zero if the distance between the subject vehicle and the preceding vehicle is relatively steady, the range rate is negative when the subject vehicle is closing in on the preceding vehicle and the range rate is positive when the subject vehicle is falling behind the preceding vehicle. The range rate, the subject vehicle speed and other signals are used to classify the drivers driving style based on how fast the subject vehicle closes in on the preceding vehicle or falls behind, and the following distance between the subject vehicle and the preceding vehicle. The system can then classify the headway-control maneuver using selected discriminant features.
    • 一种适应性车辆控制系统,其基于车辆前进控制对驾驶员驾驶风格进行分类。 系统读取传感器信号,以识别目标车辆与前一车辆之间的距离和距离率,其中如果本车辆与前一车辆之间的距离相对稳定,则距离速率接近于零,则范围速率为负时 本车辆正在关闭前一车辆,并且当本车辆落在前方车辆后方时,距离率为正。 使用范围速率,目标车速等信号,根据本车辆在前一车辆上的关闭速度或落后的距离以及本车辆与前一车辆之间的距离进行分类。 然后,该系统可以使用所选择的判别特征来对前进控制机动进行分类。
    • 5. 发明申请
    • ADAPTIVE VEHICLE CONTROL SYSTEM WITH DRIVING STYLE RECOGNITION BASED ON HEADWAY DISTANCE
    • 基于总线距离的驾驶风格识别自适应车辆控制系统
    • US20100023245A1
    • 2010-01-28
    • US12179013
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • G08G1/01G06F19/00
    • B60W30/12B60W40/09B60W2540/30B60W2550/30B60W2550/302B60W2550/308
    • An adaptive vehicle control system that classifies a drivers driving style based on vehicle headway control. The system reads sensor signals to identify the range and range rate between a subject vehicle and a preceding vehicle, where the range rate is close to zero if the distance between the subject vehicle and the preceding vehicle is relatively steady, the range rate is negative when the subject vehicle is closing in on the preceding vehicle and the range rate is positive when the subject vehicle is falling behind the preceding vehicle. The range rate, the subject vehicle speed and other signals are used to classify the drivers driving style based on how fast the subject vehicle closes in on the preceding vehicle or falls behind, and the following distance between the subject vehicle and the preceding vehicle. The system can then classify the headway-control maneuver using selected discriminant features.
    • 一种适应性车辆控制系统,其基于车辆前进控制对驾驶员驾驶风格进行分类。 系统读取传感器信号,以识别目标车辆与前一车辆之间的距离和距离率,其中如果本车辆与前一车辆之间的距离相对稳定,则距离速率接近于零,则范围速率为负时 本车辆正在关闭前一车辆,并且当本车辆落在前方车辆后方时,距离率为正。 使用范围速率,目标车速等信号,根据本车辆在前一车辆上的关闭速度或落后的距离以及本车辆与前一车辆之间的距离进行分类。 然后,该系统可以使用所选择的判别特征来对前进控制机动进行分类。
    • 6. 发明申请
    • ADAPTIVE VEHICLE CONTROL SYSTEM WITH DRIVING STYLE RECOGNITION BASED ON VEHICLE LAUNCHING
    • 基于车辆启动的驾驶风格识别自适应车辆控制系统
    • US20100023196A1
    • 2010-01-28
    • US12179073
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • G06F17/00G06N3/02
    • G05B13/0285
    • An adaptive vehicle control system that classifies a drivers driving style based on vehicle launching maneuvers. A process determines whether the vehicle speed signal during a predetermined time window is greater than a speed threshold, whether the vehicle speed signal before the time window is less than the speed threshold and whether the average of the vehicle longitudinal acceleration during the time window is greater than a first longitudinal acceleration threshold and, if so, determines if the vehicle is in a vehicle launching maneuver. The process then determines that the vehicle launching maneuver has ended if the average of the vehicle longitudinal acceleration during a second time window is less than the longitudinal acceleration threshold. The style characterization processor can then classify the vehicle launching maneuver using selected discriminant features.
    • 一种适应性车辆控制系统,其基于车辆发射操纵来分类驾驶员驾驶风格。 过程确定在预定时间窗口期间的车速信号是否大于速度阈值,时间窗口之前的车速信号是否小于速度阈值,以及在时间窗口期间车辆纵向加速度的平均值是否更大 而不是第一纵向加速度阈值,如果是,则确定车辆是否在车辆发射机动中。 然后,如果在第二时间窗口期间车辆纵向加速度的平均值小于纵向加速度阈值,则该过程确定车辆发射机动已经结束。 样式表征处理器可以使用所选择的判别特征对车辆发射机动进行分类。
    • 7. 发明申请
    • System for estimating vehicle states for rollover reduction
    • 用于估算车辆状态的翻转系统
    • US20080281482A1
    • 2008-11-13
    • US11744969
    • 2007-05-07
    • Jihua Huang
    • Jihua Huang
    • G01M17/00
    • B60W40/11B60W40/112B60W40/114B60W40/13B60W2030/043B60W2040/1315B60W2040/133B60W2050/0013B60W2510/20B60W2520/12B60W2520/14B60W2520/18
    • A system and method for estimating vehicle states, such as vehicle roll-rate, vehicle roll angle, vehicle lateral velocity and vehicle yaw-rate, for use in rollover reduction. The system includes an extended Kalman filter observer responsive to a steering angle signal, a yaw-rate signal, a roll-rate signal, a speed signal and a lateral acceleration signal that calculates an estimated yaw-rate signal, an estimated roll-rate, an estimated roll angle and an estimated lateral velocity. The system also includes a lateral velocity estimation processor responsive to the roll-rate signal, the estimated roll angle signal, the estimated lateral velocity signal and the lateral acceleration signal that calculates a modified lateral velocity estimation signal when the vehicle is operating in a non-linear region.
    • 一种用于估计车辆状态的系统和方法,例如车辆滚动速率,车辆侧倾角,车辆横向速度和车辆偏航率,用于翻滚减少。 该系统包括响应于转向角信号,偏航率信号,滚动速率信号,速度信号和计算估计的横摆角速度信号的横向加速度信号的估计滚动速率, 估计的侧倾角和估计的横向速度。 该系统还包括一个横向速度估计处理器,其响应于滚动速率信号,所估计的侧倾角度信号,估计横向速度信号和横向加速度信号,该横向加速度信号当车辆以非线性方式操作时计算修改的横向速度估计信号, 线性区域。
    • 8. 发明授权
    • Automatic correction of past position errors for location and inventory tracking
    • 对位置和库存跟踪的过往位置错误进行自动更正
    • US08838374B2
    • 2014-09-16
    • US12876918
    • 2010-09-07
    • Han-Shue TanJihua Huang
    • Han-Shue TanJihua Huang
    • G01C21/00G08G1/123
    • G01C21/165G01S5/0257G01S19/39G01S19/48G01S19/49
    • A method is provided for calibrating past position estimates from a positioning system that provides real-time position estimates of a mobile object. The method first stores the real-time position estimates, which as time goes by become past position estimates and naturally form a first past trajectory depicting the past movement of the mobile object. Subsequently, a calibrated past trajectory is determined, which includes calibrated past position estimates that correspond to the same time instances as the past positions in the first past trajectory. When real-time positions have low qualities, this method calibrates them at a later time by using (higher-quality) real-time positions both before and after them. Errors in the past positions are then corrected based on the calibrated past trajectory. When used with event detectors that indicate inventory transactions, this method can correct position errors associated with inventory events so as to improve the performance of inventory tracking.
    • 提供了一种用于校准来自提供移动对象的实时位置估计的定位系统的过去位置估计的方法。 该方法首先存储实时位置估计,其随时间变为过去位置估计,并且自然地形成描绘移动对象的过去运动的第一过去轨迹。 随后,确定校准的过去轨迹,其包括对应于与第一过去轨迹中的过去位置相同的时间实例的校准过去位置估计。 当实时职位具有低质量时,该方法可以在以后使用(较高质量)的实时位置在以后进行校准。 然后根据校准的过去轨迹更正过去位置的错误。 当与指示库存交易的事件检测器一起使用时,该方法可以纠正与库存事件相关联的位置错误,以提高库存跟踪的性能。