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    • 42. 发明授权
    • Adaptive vehicle control system with driving style recognition based on vehicle passing maneuvers
    • 自适应车辆控制系统,具有基于车辆通过机动的驾驶风格识别
    • US08060260B2
    • 2011-11-15
    • US12179137
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • G05D1/00
    • B60W30/12B60W40/09
    • An adaptive vehicle control system that classifies a driver's driving style based on vehicle passing maneuvers. A process determines whether the vehicle has started a lane change from a first lane to a second lane as a first phase of the passing maneuver. If so, the process determines whether the lane change to the second lane has been completed as a second phase of the passing maneuver. If the lane change to the second lane has been completed, the process determines whether there has been a lane change back to the first lane to complete the passing maneuver as a third phase of the passing maneuver. Further, the process determines whether a time threshold has been exceeded after the passing maneuver is in a second phase, but no lane change back to the first lane has occurred.
    • 一种适应性车辆控制系统,其基于车辆通过操纵来分类驾驶员的驾驶风格。 过程确定车辆是否已经开始从第一车道到第二车道的车道改变作为通过机动的第一阶段。 如果是,则该过程确定到第二车道的车道改变是否已经完成作为通过机动的第二阶段。 如果到第二车道的车道改变已经完成,则该过程确定是否已经将车道改变回到第一车道以完成通过机动作为通过机动的第三阶段。 此外,该过程确定在通过机动处于第二阶段之后是否已经超过时间阈值,但是没有发生回到第一车道的车道改变。
    • 43. 发明授权
    • Vehicle-setting-based driver identification system
    • 基于车辆设置的驾驶员识别系统
    • US07864029B2
    • 2011-01-04
    • US12122811
    • 2008-05-19
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • B60R25/10G01M17/00
    • B60R25/04B60R25/2081B60R25/24
    • A system and method for identifying a person as an authorized driver of a vehicle based on settings of the vehicle. The system includes a sensor for detecting a presence of a driver in the vehicle. The system also includes one or more control modules corresponding to the parameters of the vehicle. The parameters can be controlled by the control modules. The system also includes a driver ID controller coupled to the control modules and the sensor. The driver ID controller is configured to recognize the driver as an authorized driver based on inputs from the sensor and the control modules. The driver ID controller can also command the control units to adjust the parameters to predefined one or more attributes corresponding to the authorized driver.
    • 一种用于基于车辆的设置将人识别为车辆的授权驾驶员的系统和方法。 该系统包括用于检测车辆中驾驶员的存在的传感器。 该系统还包括对应于车辆参数的一个或多个控制模块。 参数可由控制模块控制。 该系统还包括耦合到控制模块和传感器的驱动器ID控制器。 驱动程序ID控制器被配置为基于来自传感器和控制模块的输入将驱动程序识别为授权驱动程序。 驱动程序ID控制器还可以命令控制单元将参数调整为与授权驱动程序相对应的预定义的一个或多个属性。
    • 44. 发明授权
    • Adaptive vehicle control system with driving style recognition based on vehicle U-turn maneuvers
    • 自适应车辆控制系统具有基于车辆U形转弯机动的驾驶风格识别
    • US07831407B2
    • 2010-11-09
    • US12179211
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • G01P15/00
    • B60W40/09
    • An adaptive vehicle control system that classifies a driver's driving style based on vehicle U-turn maneuvers. A process determines if the vehicle has started a turn if the yaw rate is greater than a first yaw rate threshold, and determines a vehicle heading angle based on the yaw rate and a sampling time if the vehicle has started a turn. The process then determines whether the vehicle maneuver has been completed by determining if the yaw rate is less than a second yaw rate threshold. The process then determines that the completed maneuver was a U-turn maneuver if the yaw rate is less than a third yaw rate threshold during the maneuver, the final vehicle heading angle is within a heading angle range and the duration of the maneuver is less than a predetermined time threshold. In one non-limiting embodiment, the heading angle range is between 165° and 195°.
    • 一种适应性车辆控制系统,其基于车辆U形转动来对驾驶员的驾驶风格进行分类。 如果偏航率大于第一横摆速度阈值,则判定车辆是否开始转弯,并且如果车辆开始转弯,则基于偏航率和采样时间确定车辆行驶角度。 然后,该过程通过确定横摆率是否小于第二偏转角速度阈值来确定车辆操纵是否已经完成。 然后,该过程确定如果在操纵期间横摆率小于第三偏航角速度阈值,则完成的操纵是U形转弯机动,最终车辆行驶角度在航向角度范围内并且机动的持续时间小于 预定时间阈值。 在一个非限制性实施例中,航向角范围在165°和195°之间。
    • 48. 发明授权
    • Brake pad prognosis system
    • 制动垫预后系统
    • US07694555B2
    • 2010-04-13
    • US12036675
    • 2008-02-25
    • Mark N. HowellJohn P. Whaite, Jr.Phanu AmatyakulYuen-Kwok ChinMutasim A. SalmanChih-Hung YenMark T. Riefe
    • Mark N. HowellJohn P. Whaite, Jr.Phanu AmatyakulYuen-Kwok ChinMutasim A. SalmanChih-Hung YenMark T. Riefe
    • G01M17/00
    • B60T17/221F16D2066/006
    • A method for providing an estimate of brake pad thickness. The method employs fusion of sensors, if used, and driver brake modeling to predict the vehicle brake pad life. An algorithm is employed that uses various inputs, such as brake pad friction material properties, brake pad cooling rate, brake temperature, vehicle mass, road grade, weight distribution, brake pressure, brake energy, braking power, etc. to provide the estimation. The method calculates brake work using total work minus losses, such as aerodynamic drag resistance, engine braking and/or braking power as braking torque times velocity divided by rolling resistance to determine the brake rotor and lining temperature. The method then uses the brake temperature to determine the brake pad wear, where the wear is accumulated for each braking event. A brake pad sensor can be included to provide one or more indications of brake pad thickness from which the estimation can be revised.
    • 一种用于提供制动衬块厚度的估计的方法。 该方法采用传感器的融合(如果使用),以及驾驶员制动器建模来预测车辆刹车片的寿命。 采用了诸如刹车片摩擦材料特性,刹车片冷却速度,制动温度,车辆质量,道路等级,重量分配,制动压力,制动能量,制动功率等各种输入的算法来提供估计。 该方法通过制动转矩乘以速度除以滚动阻力来确定制动转子和衬里温度,使用总工作减去损耗(如气动阻力,发动机制动和/或制动功率)来计算制动作业。 然后,该方法使用制动器温度来确定制动片磨损,其中每次制动事件都会累积磨损。 可以包括制动衬块传感器以提供制动衬块厚度的一个或多个指示,从中可以修改估计值。
    • 49. 发明申请
    • ADAPTIVE VEHICLE CONTROL SYSTEM WITH DRIVING STYLE RECOGNITION BASED ON VEHICLE LEFT/RIGHT TURNS
    • 基于车辆左/右倾的驾驶风格识别的自适应车辆控制系统
    • US20100023216A1
    • 2010-01-28
    • US12179101
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • B62D6/00
    • B62D6/007B60W40/09
    • An adaptive vehicle control system that classifies a driver's driving style based on left/right-turn maneuvers. A process determines if the vehicle has started a turn if the yaw rate is greater than a first yaw rate threshold, and determines a vehicle heading angle based on the yaw rate and a sampling time if the vehicle has started a turn. The process then determines whether the vehicle maneuver has been completed by determining if the yaw rate is less than a second yaw rate threshold. The process then determines that the completed maneuver was a left/right-turn maneuver if the yaw rate is less than a third yaw rate threshold over the sampling time and the vehicle heading angle is within a heading angle range for a time period less than a predetermined time threshold. In one non-limiting embodiment, the heading angle range is between 75° and 105°.
    • 一种自适应车辆控制系统,其基于左/右转动作来对驾驶员的驾驶风格进行分类。 如果偏航率大于第一横摆速度阈值,则判定车辆是否开始转弯,并且如果车辆开始转弯,则基于偏航率和采样时间确定车辆行驶角度。 然后,该过程通过确定横摆率是否小于第二偏转角速度阈值来确定车辆操纵是否已经完成。 然后,该过程确定如果在采样时间之后偏航率小于第三偏航角速度阈值,则完成的操纵是左/右转动作,并且车辆行驶角度在小于等于 预定时间阈值。 在一个非限制性实施例中,航向角范围在75°和105°之间。
    • 50. 发明申请
    • ADAPTIVE VEHICLE CONTROL SYSTEM WITH INTEGRATED MANEUVER-BASED DRIVING STYLE RECOGNITION
    • 具有集成MANUUVER的驾驶风格识别的自适应车辆控制系统
    • US20100023183A1
    • 2010-01-28
    • US12179314
    • 2008-07-24
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • Jihua HuangWilliam C. LinYuen-Kwok Chin
    • G06F17/00
    • 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。