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1.发明申请公开(公告)号：US20160036964A1
公开(公告)日：2016-02-04
申请号：US14445748
申请日：2014-07-29
Applicant: Verizon Patent and Licensing Inc.
CPC classification number: H04W8/22 , H04M1/6075 , H04M1/72569 , H04M1/72577 , H04W4/02 , H04W4/046 , H04W48/04
Abstract: A device may receive sensor data regarding a user device; and determine, based on the sensor data, that a user of the user device is in a vehicle or driving the vehicle. When determining that the user of the user device is in the vehicle or driving the vehicle, the device may compare the sensor data, received from the user device, with a reference dataset that includes reference data associated with users being present in or driving a vehicle, or determine that a value of a measurement, received as part of the sensor data, satisfies a threshold that is related to whether the user is in the vehicle or driving the vehicle. The device may output a particular control instruction to the user device based on determining that the user is in the vehicle or is driving the vehicle.
Abstract translation: 设备可以接收关于用户设备的传感器数据; 并且基于传感器数据确定用户设备的用户在车辆中或驾驶车辆。 当确定用户设备的用户在车辆中或驾驶车辆时，设备可以将从用户设备接收的传感器数据与参考数据集进行比较，所述参考数据集包括与存在于车辆或驾驶车辆中的用户相关联的参考数据 或者确定作为传感器数据的一部分接收到的测量值满足与用户是在车辆中还是驾驶车辆有关的阈值。 该设备可以基于确定用户在车辆中或正在驾驶车辆来向用户设备输出特定的控制指令。
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公开(公告)号：US20170101093A1
公开(公告)日：2017-04-13
申请号：US14881398
申请日：2015-10-13
Applicant: Verizon Patent and Licensing Inc.
Inventor： James Ronald Barfield, Jr. , Stephen Christopher Welch
IPC: B60W30/095 , G08G1/16 , B60W50/00 , B60W30/09 , B60W50/14
CPC classification number: B60W30/095 , B60W30/09 , B60W50/0097 , B60W50/14 , B60W2400/00 , B60W2420/40 , B60W2420/42 , B60W2420/54 , B60W2540/10 , B60W2540/12 , B60W2540/18 , B60W2550/308 , B60W2550/402 , B60W2550/404 , G08G1/096725 , G08G1/09675 , G08G1/096775 , G08G1/16 , G08G1/164 , G08G1/166
Abstract: Information identifying one or more conditions associated with a vehicle is collected. This information may include first data associated with the vehicle, second data associated with a driver of the vehicle, and third data associated with an environment around the vehicle. The information may be collected from a vehicle sensor, a telematics unit, a user device associated with the driver or a passenger, or a remote server. A likelihood of a collision involving the vehicle, a likelihood of avoiding the collision, and a risk associated with the collision may be determined based on the collected data. An appropriate response may be selected based on the likelihood of the collision, the likelihood of avoiding the collision, and the risk associated with the collision.
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公开(公告)号：US09881428B2
公开(公告)日：2018-01-30
申请号：US14447235
申请日：2014-07-30
Applicant: Verizon Patent and Licensing Inc.
CPC classification number: G07C5/008 , G05B23/0254 , G07C5/0841
Abstract: Vehicle data may be analyzed to predict potential component failures, diagnostic trouble codes (DTCs), or other mechanical failures relating to the vehicle. In one implementation the vehicle data may be received from a number of vehicles, the vehicle data including DTCs generated by on-board diagnostic (OBD) systems of the vehicles. The vehicle data may be evaluated using a predictive model to output predictions of DTCs that are likely to occur for a particular vehicle.
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公开(公告)号：US09392431B2
公开(公告)日：2016-07-12
申请号：US14502423
申请日：2014-09-30
Applicant: Verizon Patent and Licensing Inc.
Inventor： James Ronald Barfield, Jr. , Stephen Christopher Welch
IPC: B60R21/00 , H04W4/22 , H04W4/04 , H04W4/00 , H04Q9/00 , B60R21/0132 , B60R21/013
CPC classification number: H04W4/22 , B60R21/013 , B60R21/0132 , B60R2021/01325 , G07C5/008 , G07C5/085 , G08B25/016 , G08B29/185 , G08G1/205 , H04Q9/00 , H04W4/046 , H04W4/70 , H04W4/90
Abstract: Vehicle collisions may be automatically detected and reported based to a call center. The collisions may be automatically detected based on a collision detection model that receives sensor data, or other data, as input, and outputs an indication of whether there is a collision. The collision detection model may be trained on historical sensor data associated with potential vehicle collisions, where the historical sensor data is labeled to indicate whether the data corresponds to an actual collision.
Abstract translation: 车辆碰撞可以根据呼叫中心自动检测和报告。 可以基于接收传感器数据或其他数据作为输入的碰撞检测模型来自动检测冲突，并且输出是否存在冲突的指示。 碰撞检测模型可以对与潜在的车辆碰撞相关联的历史传感器数据进行训练，其中历史传感器数据被标记以指示数据是否对应于实际的碰撞。
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公开(公告)号：US20160094964A1
公开(公告)日：2016-03-31
申请号：US14502423
申请日：2014-09-30
Applicant: Verizon Patent and Licensing Inc.
Inventor： James Ronald Barfield, JR. , Stephen Christopher Welch
CPC classification number: H04W4/22 , B60R21/013 , B60R21/0132 , B60R2021/01325 , G07C5/008 , G07C5/085 , G08B25/016 , G08B29/185 , G08G1/205 , H04Q9/00 , H04W4/046 , H04W4/70 , H04W4/90
Abstract: Vehicle collisions may be automatically detected and reported based to a call center. The collisions may be automatically detected based on a collision detection model that receives sensor data, or other data, as input, and outputs an indication of whether there is a collision. The collision detection model may be trained on historical sensor data associated with potential vehicle collisions, where the historical sensor data is labeled to indicate whether the data corresponds to an actual collision.
Abstract translation: 车辆碰撞可以根据呼叫中心自动检测和报告。 可以基于接收传感器数据或其他数据作为输入的碰撞检测模型来自动检测冲突，并且输出是否存在冲突的指示。 碰撞检测模型可以对与潜在的车辆碰撞相关联的历史传感器数据进行训练，其中历史传感器数据被标记以指示数据是否对应于实际的碰撞。
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Patent Agency Ranking
公开(公告)号：US10330494B2
公开(公告)日：2019-06-25
申请号：US14160311
申请日：2014-01-21
Applicant: Verizon Patent and Licensing Inc.
Inventor： James Ronald Barfield , Stephen Christopher Welch
IPC: G01D3/036
Abstract: A wearable fall-detection device has a variety of sensors, including a pressure sensor, that provide signals for sampling environmental conditions acting on the device. An average of pressure data samples is used to determine a resultant that may indicate an amount of noise in a pressure data signal, and statistical analysis of the noise and the pressure signal average may be used to determine a confidence estimate value that indicates a level of confidence in the amount of noise that a pressure signal is subject to, or includes. The confidence estimate and known fall data, such as change in pressure between a person standing and lying, can create a threshold function that may adapt according to sampled data thus providing a customizable (either statically or dynamically) threshold function for comparing sensor data against rather than comparing data with just a linear threshold function.
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公开(公告)号：US10197631B2
公开(公告)日：2019-02-05
申请号：US14727238
申请日：2015-06-01
Applicant: Verizon Patent and Licensing Inc.
Abstract: Techniques described herein may be used to provide a driver of a vehicle with an accurate assessment of the remaining life of the vehicle battery. An on-board device may collect information from one or more sensors or devices within the vehicle. The information may be processed to generate a data set that accurately describes the current status and operating conditions of the battery. The data set may be used to evaluate the health of the battery and make predictions regarding the future performance of the battery, which may be communicated to the driver of the vehicle. Machine-learning techniques may be implemented to improve upon methodologies to evaluate the health of the battery and make predictions regarding battery performance.
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公开(公告)号：US20160035150A1
公开(公告)日：2016-02-04
申请号：US14447235
申请日：2014-07-30
Applicant: Verizon Patent and Licensing Inc.
IPC: G07C5/00
CPC classification number: G07C5/008 , G05B23/0254 , G07C5/0841
Abstract: Vehicle data may be analyzed to predict potential component failures, diagnostic trouble codes (DTCs), or other mechanical failures relating to the vehicle. In one implementation the vehicle data may be received from a number of vehicles, the vehicle data including DTCs generated by on-board diagnostic (OBD) systems of the vehicles. The vehicle data may be evaluated using a predictive model to output predictions of DTCs that are likely to occur for a particular vehicle.
Abstract translation: 可以分析车辆数据以预测潜在的部件故障，诊断故障代码（DTC）或与车辆相关的其他机械故障。 在一个实施方案中，可以从多个车辆接收车辆数据，车辆数据包括由车辆的车载诊断（OBD）系统产生的DTC。 可以使用预测模型来评估车辆数据，以输出对特定车辆可能发生的DTC的预测。
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公开(公告)号：US09718468B2
公开(公告)日：2017-08-01
申请号：US14881398
申请日：2015-10-13
Applicant: Verizon Patent and Licensing Inc.
Inventor： James Ronald Barfield, Jr. , Stephen Christopher Welch
IPC: B60W30/095 , B60W30/09 , B60W50/14 , B60W50/00 , G08G1/16
CPC classification number: B60W30/095 , B60W30/09 , B60W50/0097 , B60W50/14 , B60W2400/00 , B60W2420/40 , B60W2420/42 , B60W2420/54 , B60W2540/10 , B60W2540/12 , B60W2540/18 , B60W2550/308 , B60W2550/402 , B60W2550/404 , G08G1/096725 , G08G1/09675 , G08G1/096775 , G08G1/16 , G08G1/164 , G08G1/166
Abstract: Information identifying one or more conditions associated with a vehicle is collected. This information may include first data associated with the vehicle, second data associated with a driver of the vehicle, and third data associated with an environment around the vehicle. The information may be collected from a vehicle sensor, a telematics unit, a user device associated with the driver or a passenger, or a remote server. A likelihood of a collision involving the vehicle, a likelihood of avoiding the collision, and a risk associated with the collision may be determined based on the collected data. An appropriate response may be selected based on the likelihood of the collision, the likelihood of avoiding the collision, and the risk associated with the collision.
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公开(公告)号：US20160349330A1
公开(公告)日：2016-12-01
申请号：US14727238
申请日：2015-06-01
Applicant: Verizon Patent and Licensing Inc.
CPC classification number: G01R31/3648 , G07C5/008 , G07C5/0816 , G07C5/085
Abstract: Techniques described herein may be used to provide a driver of a vehicle with an accurate assessment of the remaining life of the vehicle battery. An on-board device may collect information from one or more sensors or devices within the vehicle. The information may be processed to generate a data set that accurately describes the current status and operating conditions of the battery. The data set may be used to evaluate the health of the battery and make predictions regarding the future performance of the battery, which may be communicated to the driver of the vehicle. Machine-learning techniques may be implemented to improve upon methodologies to evaluate the health of the battery and make predictions regarding battery performance.
Abstract translation: 本文描述的技术可用于为车辆的驾驶员准确评估车辆电池的剩余寿命。 车载设备可以从车辆内的一个或多个传感器或设备收集信息。 可以处理信息以产生准确描述电池的当前状态和操作条件的数据集。 数据集可以用于评估电池的健康状况，并且对电池的未来性能进行预测，其可以传达给车辆的驾驶员。 可以实施机器学习技术，以改进评估电池健康的方法，并对电池性能进行预测。
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