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41. 发明授权

US07831407B2 Adaptive vehicle control system with driving style recognition based on vehicle U-turn maneuvers 有权
标题翻译：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
公开(公告)号：US07831407B2
公开(公告)日：2010-11-09
申请号：US12179211
申请日：2008-07-24
申请人： Jihua Huang , William C. Lin , Yuen-Kwok Chin
发明人： Jihua Huang , William C. Lin , Yuen-Kwok Chin
IPC分类号： G01P15/00
CPC分类号： B60W40/09
摘要： 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°.
摘要翻译：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。

42. 发明申请

US20100191414A1 INTEGRATED DIAGNOSIS AND PROGNOSIS SYSTEM AS PART OF THE CORPORATE VALUE CHAIN 有权
标题翻译：综合诊断和预防系统作为企业价值链的一部分
公开(公告)号：US20100191414A1
公开(公告)日：2010-07-29
申请号：US12362364
申请日：2009-01-29
申请人： Mutasim A. Salman , Pulak Bandyopadhyay , Sugato Chakrabarty , Rahul Chougule , Sabyasachi Bhattacharya , Soumen De , Debprakash Patnaik , Andrea M. Simon , Steven W. Holland , Yuen-Kwok Chin , Xiaodong Zhang , Yilu Zhang
发明人： Mutasim A. Salman , Pulak Bandyopadhyay , Sugato Chakrabarty , Rahul Chougule , Sabyasachi Bhattacharya , Soumen De , Debprakash Patnaik , Andrea M. Simon , Steven W. Holland , Yuen-Kwok Chin , Xiaodong Zhang , Yilu Zhang
IPC分类号： G06F19/00 , G06F17/30
CPC分类号： G06Q10/06
摘要： An integrated diagnosis and prognosis system that collects vehicle information over the life of a vehicle and its development. The system provides the collected vehicle information to supplier management, product development management, service/dealership management, customer relations departments and production facilities, which use the information to take certain action for existing vehicles, fleets of vehicles or future vehicles to improve vehicle reliability and quality.
摘要翻译：一种综合诊断和预后系统，用于收集车辆生命周期中的车辆信息及其发展。系统将收集的车辆信息提供给供应商管理，产品开发管理，服务/经销商管理，客户关系部门和生产设备，利用这些信息为现有车辆，车队或未来车辆采取某些行动，以提高车辆的可靠性，质量。

43. 发明申请

US20100179720A1 AUTONOMOUS VEHICLE MAINTENANCE AND REPAIR SYSTEM 有权
标题翻译：自动维修和维修系统
公开(公告)号：US20100179720A1
公开(公告)日：2010-07-15
申请号：US12353016
申请日：2009-01-13
申请人： William C. Lin , Bakhtiar Brian Litkouhi , Ansaf I. Alrabady , Balarama V. Murty , Xiaodong Zhang , Steven W. Holland , Mutasim A. Salman , Rami I. Debouk , Yuen-Kwok Chin
发明人： William C. Lin , Bakhtiar Brian Litkouhi , Ansaf I. Alrabady , Balarama V. Murty , Xiaodong Zhang , Steven W. Holland , Mutasim A. Salman , Rami I. Debouk , Yuen-Kwok Chin
IPC分类号： G06F19/00
CPC分类号： G07C5/008
摘要： A system and method for providing autonomous and remote vehicle maintenance and repair. The system employs an on-board diagnosis and prognosis module that monitors one or more vehicle buses to identify trouble codes and other information indicating a vehicle problem. The on-board module causes a telematic device on the vehicle to broadcast a message including a problem code that identifies the problem the vehicle is having. A remote repair center may receive the message and may identify a software upgrade patch associated with the problem that can be transmitted to the vehicle to upgrade its software to correct the problem. Also, the message may be received by another vehicle that is part of a broadcast network that has previously received the software upgrade patch to fix a problem on that vehicle, where the receiving vehicle may transmit the software upgrade patch to the vehicle having the problem.
摘要翻译：一种用于提供自主和远程车辆维护和修理的系统和方法。该系统采用车载诊断和预测模块，其监视一辆或多辆车辆总线以识别指示车辆问题的故障代码和其他信息。车载模块使得车辆上的远程信息处理设备广播包括识别车辆所具有的问题的问题代码的消息。远程维修中心可以接收该消息，并且可以识别与可以传送到车辆的问题相关联的软件升级补丁以升级其软件以纠正该问题。此外，消息可以由作为先前接收到软件升级补丁的广播网络的一部分的另一车辆接收以修复该车辆上的问题，其中接收车辆可以将该软件升级补丁发送到具有该问题的车辆。

44. 发明申请

US20100152951A1 ADAPTIVE VEHICLE CONTROL SYSTEM WITH DRIVING STYLE RECOGNITION BASED ON VEHICLE ACCELERATING AND DECELERATING 审中-公开
标题翻译：基于车辆加速和减速的驾驶风格识别的自适应车辆控制系统
公开(公告)号：US20100152951A1
公开(公告)日：2010-06-17
申请号：US12335263
申请日：2008-12-15
申请人： Yuen-Kwok Chin , Jihua Huang , William C. Lin
发明人： Yuen-Kwok Chin , Jihua Huang , William C. Lin
IPC分类号： G06F17/00
CPC分类号： B60W40/09
摘要： An adaptive vehicle control system that classifies a driver's driving style based on vehicle stopping maneuvers. The system reads sensor signals to provide a vehicle speed and determines whether the vehicle is currently in straight line driving or curve driving. If the vehicle is in straight line or curve driving and the vehicle speed is less than a speed threshold, the system determines that the vehicle is in an accelerating or decelerating maneuver. The system then determines that the accelerating and decelerating maneuver has ended if the vehicle is not in straight line or curve driving or the vehicle speed signal is less than the speed threshold. The system can then classify the vehicle accelerating and decelerating maneuver using select discriminate features.
摘要翻译：一种适应性车辆控制系统，其基于车辆停止操纵对驾驶员的驾驶风格进行分类。系统读取传感器信号以提供车辆速度并且确定车辆当前是直线驾驶还是曲线行驶。如果车辆处于直线或曲线行驶并且车速小于速度阈值，则系统确定车辆处于加速或减速操作。然后，如果车辆不是直线或曲线行驶或者车速信号小于速度阈值，则系统确定加速和减速操作已经结束。然后，系统可以使用选择识别特征对车辆加速和减速机动进行分类。

45. 发明授权

US07694555B2 Brake pad prognosis system 有权
标题翻译：制动垫预后系统
公开(公告)号：US07694555B2
公开(公告)日：2010-04-13
申请号：US12036675
申请日：2008-02-25
申请人： Mark N. Howell , John P. Whaite, Jr. , Phanu Amatyakul , Yuen-Kwok Chin , Mutasim A. Salman , Chih-Hung Yen , Mark T. Riefe
发明人： Mark N. Howell , John P. Whaite, Jr. , Phanu Amatyakul , Yuen-Kwok Chin , Mutasim A. Salman , Chih-Hung Yen , Mark T. Riefe
IPC分类号： G01M17/00
CPC分类号： B60T17/221 , F16D2066/006
摘要： 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.
摘要翻译：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。

46. 发明申请

US20100023216A1 ADAPTIVE VEHICLE CONTROL SYSTEM WITH DRIVING STYLE RECOGNITION BASED ON VEHICLE LEFT/RIGHT TURNS 审中-公开
标题翻译：基于车辆左/右倾的驾驶风格识别的自适应车辆控制系统
公开(公告)号：US20100023216A1
公开(公告)日：2010-01-28
申请号：US12179101
申请日：2008-07-24
申请人： Jihua Huang , William C. Lin , Yuen-Kwok Chin
发明人： Jihua Huang , William C. Lin , Yuen-Kwok Chin
IPC分类号： B62D6/00
CPC分类号： B62D6/007 , B60W40/09
摘要： 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°.
摘要翻译：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。

47. 发明申请

US20100023183A1 ADAPTIVE VEHICLE CONTROL SYSTEM WITH INTEGRATED MANEUVER-BASED DRIVING STYLE RECOGNITION 有权
标题翻译：具有集成MANUUVER的驾驶风格识别的自适应车辆控制系统
公开(公告)号：US20100023183A1
公开(公告)日：2010-01-28
申请号：US12179314
申请日：2008-07-24
申请人： Jihua Huang , William C. Lin , Yuen-Kwok Chin
发明人： Jihua Huang , William C. Lin , Yuen-Kwok Chin
IPC分类号： G06F17/00
CPC分类号： B60W30/12 , B60W40/09
摘要： 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.
摘要翻译：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。

48. 发明申请

US20100019880A1 ADAPTIVE VEHICLE CONTROL SYSTEM WITH DRIVING STYLE RECOGNITION BASED ON TRAFFIC SENSING 审中-公开
标题翻译：基于交通感测的驾驶风格识别自适应车辆控制系统
公开(公告)号：US20100019880A1
公开(公告)日：2010-01-28
申请号：US12179228
申请日：2008-07-24
申请人： Jihua Huang , William C. Lin , Yuen-Kwok Chin
发明人： Jihua Huang , William C. Lin , Yuen-Kwok Chin
IPC分类号： G06F7/00
CPC分类号： G07C5/085
摘要： An adaptive vehicle control system that classifies a driver's driving style based on characteristic 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 condition recognition processor that receives the sensor signals, and provides traffic condition signals identifying traffic conditions. A style characterization processor receives the maneuver identifier signals, sensor signals from the vehicle sensors and the traffic condition signals, and classifies driving style based on the signals to classify the style of the driver driving the vehicle.
摘要翻译：一种自适应车辆控制系统，其基于特征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状况识别处理器，并提供识别交通状况的交通状况信号。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和交通状况信号，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。

49. 发明申请

US20080236269A1 Brake Pad Prognosis System 有权
标题翻译：刹车片预测系统
公开(公告)号：US20080236269A1
公开(公告)日：2008-10-02
申请号：US12036675
申请日：2008-02-25
申请人： Mark N. Howell , John P. Whaite , Phanu Amatyakul , Yuen-Kwok Chin , Mutasim A. Salman , Chih-Hung Yen , Mark T. Riefe
发明人： Mark N. Howell , John P. Whaite , Phanu Amatyakul , Yuen-Kwok Chin , Mutasim A. Salman , Chih-Hung Yen , Mark T. Riefe
IPC分类号： G01L5/28
CPC分类号： B60T17/221 , F16D2066/006
摘要： 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.
摘要翻译：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。

50. 发明申请

US20070213886A1 Method and system for driver handling skill recognition through driver's steering behavior 审中-公开
标题翻译：驾驶员驾驶技巧识别方法和系统，通过驾驶员的转向行为
公开(公告)号：US20070213886A1
公开(公告)日：2007-09-13
申请号：US11372807
申请日：2006-03-10
申请人： Yilu Zhang , William Lin , Yuen-Kwok Chin
发明人： Yilu Zhang , William Lin , Yuen-Kwok Chin
IPC分类号： G05D1/00
CPC分类号： B62D6/007 , B60W30/12 , B60W40/09 , B60W2520/105 , B60W2520/125 , B60W2520/14 , B60W2540/12 , B60W2550/402
摘要： A driver handling skill recognition system and related algorithm that identifies a driver skill level. The system includes a steering wheel angle processor responsive to a steering wheel angle signal that provides normalized DFT coefficients. The system also includes at least one feed-forward artificial neural network (FF-ANN) responsive to the normalized DFT coefficients, where the FF-ANN provides an output signal indicative of the driver skill level. In one embodiment, the system includes a plurality of FF-ANNs one for each of a plurality of different vehicle maneuvers. The system includes a maneuver identifier that identifies a vehicle maneuver. The system selects the output from one of the FF-ANNs depending on the identified maneuver. In an alternate embodiment, the system can include a single FF-ANN designed for a plurality of vehicle maneuvers.
摘要翻译：处理技能识别系统和相关算法的司机识别驾驶员技能水平。该系统包括响应于提供标准化DFT系数的方向盘角度信号的方向盘角度处理器。该系统还包括响应于归一化DFT系数的至少一个前馈人造神经网络（FF-ANN），其中FF-ANN提供指示驾驶员技能水平的输出信号。在一个实施例中，系统包括多个不同车辆操纵中的每一个的多个FF-ANN。该系统包括识别车辆操纵的操纵标识符。系统根据识别的机动来选择其中一个FF-ANN的输出。在替代实施例中，系统可以包括为多个车辆操纵而设计的单个FF-ANN。

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