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    • 82. 发明授权
    • Adaptive vehicle control system with integrated maneuver-based driving style recognition
    • 具有综合机动驾驶风格识别的自适应车辆控制系统
    • US08280601B2
    • 2012-10-02
    • US12179314
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • G06G7/76
    • B60W30/12B60W40/09
    • A vehicle control system that classifies a driver's driving style based on characteristic maneuvers. The system includes a plurality of vehicle sensors that detect various vehicle parameters. A maneuver identification processor receives the sensor signals to identify a characteristic maneuver of the vehicle and provides a maneuver identifier signal of the maneuver. A style characterization processor receives the maneuver identifier signals, sensor signals from the vehicle sensors and the traffic and road condition signals, and classifies driving style based on the signals to classify the style of the driver driving the vehicle. The classification of the driver style can be provided for a level-1 combination that combines the classification results from different maneuver type classifiers for a single maneuver, a level-2 combination that combines the classification results from multiple maneuvers that are of the same type and a level-3 combination that combines the classification results from different types of characteristic maneuvers.
    • 一种车辆控制系统,其基于特征机动来分类驾驶员的驾驶风格。 该系统包括检测各种车辆参数的多个车辆传感器。 机动识别处理器接收传感器信号以识别车辆的特征操纵并提供操纵的操纵标识符信号。 风格表征处理器接收机动标识符信号,来自车辆传感器的传感器信号以及交通和道路状态信号,并且基于信号对驾驶风格进行分类,以分类驾驶车辆的驾驶员的风格。 驾驶员风格的分类可以提供给一级组合,其将来自不同机动类型分类器的分类结果组合为单个机动,组合来自相同类型的多个演习的分类结果的二级组合,以及 一个三级组合,结合了不同类型的特征机动的分类结果。
    • 83. 发明授权
    • Adaptive vehicle control system with driving style recognition
    • 具有驾驶风格识别的自适应车辆控制系统
    • US08260515B2
    • 2012-09-04
    • US12179048
    • 2008-07-24
    • Jihua HuangYuen-Kwok ChinWilliam C. Lin
    • Jihua HuangYuen-Kwok ChinWilliam C. Lin
    • G06G7/76
    • B60W40/09B60K2031/0033B60W30/12B60W30/16B60W2510/20B60W2520/10B60W2520/14B60W2540/18B60W2540/30B60W2550/12B60W2550/141B60W2550/148B60W2550/402
    • An adaptive vehicle control system that classifies a driver's driving style based on characteristic curve-handling maneuvers and road and traffic conditions. The system includes a plurality of vehicle sensors that detect various vehicle parameters. A maneuver identification processor receives the sensor signals to identify a characteristic maneuver of the vehicle and provides a maneuver identifier signal of the maneuver. The system also includes a traffic and road condition recognition processor that receives the sensor signals, and provides traffic condition signals identifying traffic conditions and road condition signals identifying road conditions. A style characterization processor receives the maneuver identifier signals, sensor signals from the vehicle sensors and the traffic and road condition signals, and classifies driving style based on the signals to classify the style of the driver driving the vehicle.
    • 一种自适应车辆控制系统,其基于特征曲线处理机动和道路和交通状况对驾驶员的驾驶风格进行分类。 该系统包括检测各种车辆参数的多个车辆传感器。 机动识别处理器接收传感器信号以识别车辆的特征操纵并提供操纵的操纵标识符信号。 该系统还包括接收传感器信号的交通和道路状况识别处理器,并且提供识别交通状况的交通状况信号和识别路况的道路状况信号。 风格表征处理器接收机动标识符信号,来自车辆传感器的传感器信号以及交通和道路状态信号,并且基于信号对驾驶风格进行分类,以分类驾驶车辆的驾驶员的风格。
    • 85. 发明授权
    • 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的自适应车辆控制系统
    • US08170740B2
    • 2012-05-01
    • US12179073
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • G01M17/00G05D1/00
    • 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。
    • 87. 发明授权
    • Driver workload-based vehicle stability enhancement system
    • 基于驾驶员工作的车辆稳定性增强系统
    • US07996130B2
    • 2011-08-09
    • US12762739
    • 2010-04-19
    • Yilu ZhangWilliam C. LinJing ZhangYuen-Kwok Chin
    • Yilu ZhangWilliam C. LinJing ZhangYuen-Kwok Chin
    • B62D6/00
    • B60T8/17551B60T8/17552B60T2220/02B60T2230/02
    • A vehicle stability enhancement system that is adapted for an estimated driver workload. The system includes a driver workload estimation processor that estimates the driver workload based on certain factors, such as the vehicle speed or driver-behavior factors. The driver workload estimation is used to adjust the damping ratio and natural frequency in dynamic filters in a command interpreter to adjust a desired yaw rate signal and a desired side-slip signal. The driver workload estimation is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a feedback control processor that generates a stability control signal.
    • 适用于估计驾驶员工作量的车辆稳定性增强系统。 该系统包括驾驶员工作量估计处理器,其基于某些因素(例如车辆速度或驾驶员行为因素)来估计驾驶员工作负荷。 驱动器工作量估计用于调整命令解释器中的动态滤波器中的阻尼比和固有频率,以调整期望的横摆率信号和期望的侧滑信号。 驾驶员工作量估计还用于产生在产生稳定性控制信号的反馈控制处理器中修改横摆率稳定性信号和侧滑稳定性信号的横摆率倍增因子和侧滑倍增因子。
    • 89. 发明申请
    • DRIVING SKILL RECOGNITION BASED ON STOP-AND-GO DRIVING BEHAVIOR
    • 基于停止驾驶行为的驾驶技能识别
    • US20100209891A1
    • 2010-08-19
    • US12388147
    • 2009-02-18
    • WILLIAM C. LINJihua HuangYuen-Kwok Chin
    • WILLIAM C. LINJihua HuangYuen-Kwok Chin
    • G09B19/16
    • G09B9/05G09B19/167
    • A skill characterization processor classifies driver skill based stop and go maneuvers. A maneuver identification processor determines whether the vehicle is in a braking maneuver, and the system determines the vehicle longitudinal deceleration, the brake pedal position and the brake pedal rate from the brake pedal position. The skill characterization processor then classifies the driver's driving skill based on the brake pedal rate, the brake pedal position and the vehicle longitudinal deceleration generally under normal driving conditions. In one embodiment, the processor classifies driver skill by performing frequency analysis on the brake pedal rate using a discrete Fourier transform to find a frequency component of the brake pedal rate to obtain a power spectrum density.
    • 技能表征处理器对基于驾驶员技能的停止和转动进行分类。 机动识别处理器确定车辆是否处于制动操作状态,并且系统从制动踏板位置确定车辆纵向减速度,制动踏板位置和制动踏板速度。 技能表征处理器然后根据制动踏板速度,制动踏板位置和车辆纵向减速度通常在正常驾驶条件下对驾驶员的驾驶技能进行分类。 在一个实施例中,处理器通过使用离散傅里叶变换对制动踏板速度进行频率分析来分类驾驶员技能,以找到制动踏板速度的频率分量以获得功率谱密度。