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公开(公告)号：US09043071B1
公开(公告)日：2015-05-26
申请号：US13973154
申请日：2013-08-22
Applicant: Google Inc.
Inventor： Peter Lombrozo
Abstract: Methods and systems for implementing steering-based scrub braking are described. A computing device or system assisting in the control of a vehicle may be configured to make a determination to reduce a speed of the vehicle or enhance the stability of a vehicle that is traveling in a given direction. The computing device may provide instructions to turn a pair of wheels or any combination of wheels of the vehicle in a direction away from parallel to the given direction in which the vehicle is traveling and in opposite directions to each other so as to reduce the speed of the vehicle. In an example, the computing device may estimate a range to execute speed reduction of the vehicle.
Abstract translation: 描述了实现基于转向的摩擦制动的方法和系统。 辅助车辆控制的计算设备或系统可以被配置为进行减小车辆速度或增强在给定方向上行进的车辆的稳定性的确定。 计算装置可以提供指令，以使车辆的一对车轮或车辆的任何组合在远离平行于车辆行驶的给定方向并且彼此相反方向的方向上转动，以便降低车辆的速度 机动车。 在一个示例中，计算设备可以估计执行车辆的减速的范围。
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Patent Agency Ranking
2.发明申请Inferring State of Traffic Signal and Other Aspects of a Vehicle's Environment Based on Surrogate Data 有权根据替代数据推断交通信号状况和车辆环境的其他方面公开(公告)号：US20140303829A1
公开(公告)日：2014-10-09
申请号：US14308409
申请日：2014-06-18
Applicant: Google Inc.
Inventor： Peter Lombrozo , Eric Teller , Bradley Templeton
IPC: B60W40/00
CPC classification number: G05D1/0088 , B60W30/09 , B60W30/12 , B60W30/16 , B60W40/00 , B60W2050/0089 , B60W2550/10 , G01C21/26 , G01C21/30 , G01S13/88 , G01S15/88 , G01S17/88 , G06K9/00825
Abstract: A vehicle configured to operate in an autonomous mode can obtain sensor data from one or more sensors observing one or more aspects of an environment of the vehicle. At least one aspect of the environment of the vehicle that is not observed by the one or more sensors could be inferred based on the sensor data. The vehicle could be controlled in the autonomous mode based on the at least one inferred aspect of the environment of the vehicle.
Abstract translation: 被配置为以自主模式操作的车辆可以从观察车辆环境的一个或多个方面的一个或多个传感器获得传感器数据。 可以基于传感器数据来推断车辆的环境的至少一个方面，其不被一个或多个传感器观察到。 基于车辆的环境的至少一个推断方面，可以在自主模式下控制车辆。
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公开(公告)号：US20160209844A1
公开(公告)日：2016-07-21
申请号：US15087390
申请日：2016-03-31
Applicant: Google Inc.
Inventor： Peter Lombrozo , Eric Teller , Bradley Templeton
CPC classification number: G05D1/0088 , B60W30/09 , B60W30/12 , B60W30/16 , B60W40/00 , B60W2050/0089 , B60W2550/10 , G01C21/26 , G01C21/30 , G01S13/88 , G01S15/88 , G01S17/88 , G06K9/00825
Abstract: A vehicle configured to operate in an autonomous mode can obtain sensor data from one or more sensors observing one or more aspects of an environment of the vehicle. At least one aspect of the environment of the vehicle that is not observed by the one or more sensors could be inferred based on the sensor data. The vehicle could be controlled in the autonomous mode based on the at least one inferred aspect of the environment of the vehicle.
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公开(公告)号：US09176500B1
公开(公告)日：2015-11-03
申请号：US14302258
申请日：2014-06-11
Applicant: Google Inc.
Inventor： Eric Teller , Peter Lombrozo
CPC classification number: B60W30/08 , B60W30/00 , B60W2420/10 , B60W2420/42 , B60W2420/50 , B60W2420/52 , B60W2420/62 , B60W2520/125 , B60W2520/14 , B60W2520/16 , B60W2520/18 , B60W2540/12 , B60W2540/14 , B60W2550/10 , B60W2550/20 , B60W2550/402 , B60W2900/00 , G05D1/0088 , G05D2201/0213
Abstract: An autonomous vehicle configured for active sensing may also be configured to weigh expected information gains from active-sensing actions against risk costs associated with the active-sensing actions. An example method involves: (a) receiving information from one or more sensors of an autonomous vehicle, (b) determining a risk-cost framework that indicates risk costs across a range of degrees to which an active-sensing action can be performed, wherein the active-sensing action comprises an action that is performable by the autonomous vehicle to potentially improve the information upon which at least one of the control processes for the autonomous vehicle is based, (c) determining an information-improvement expectation framework across the range of degrees to which the active-sensing action can be performed, and (d) applying the risk-cost framework and the information-improvement expectation framework to determine a degree to which the active-sensing action should be performed.
Abstract translation: 配置用于主动感测的自主车辆还可以被配置为从主动感测动作对与主动感测动作相关的风险成本来衡量预期信息增益。 示例性方法包括：（a）从自动车辆的一个或多个传感器接收信息，（b）确定风险成本框架，其指示可以执行主动感测动作的程度的风险成本，其中 主动感测动作包括由自主车辆执行以可能改进自主车辆的至少一个控制过程所基于的信息的动作，（c）在整个范围内确定信息改进期望框架 可以执行主动感测动作的程度，以及（d）应用风险成本框架和信息改进期望框架来确定应该执行主动感测动作的程度。
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5.发明授权Inferring state of traffic signal and other aspects of a vehicle's environment based on surrogate data 有权根据替代数据推测交通信号状态和车辆环境的其他方面公开(公告)号：US09327734B2
公开(公告)日：2016-05-03
申请号：US14308409
申请日：2014-06-18
Applicant: Google Inc.
Inventor： Peter Lombrozo , Eric Teller , Bradley Templeton
CPC classification number: G05D1/0088 , B60W30/09 , B60W30/12 , B60W30/16 , B60W40/00 , B60W2050/0089 , B60W2550/10 , G01C21/26 , G01C21/30 , G01S13/88 , G01S15/88 , G01S17/88 , G06K9/00825
Abstract: A vehicle configured to operate in an autonomous mode can obtain sensor data from one or more sensors observing one or more aspects of an environment of the vehicle. At least one aspect of the environment of the vehicle that is not observed by the one or more sensors could be inferred based on the sensor data. The vehicle could be controlled in the autonomous mode based on the at least one inferred aspect of the environment of the vehicle.
Abstract translation: 被配置为以自主模式操作的车辆可以从观察车辆环境的一个或多个方面的一个或多个传感器获得传感器数据。 可以基于传感器数据来推断车辆的环境的至少一个方面，其不被一个或多个传感器观察到。 基于车辆的环境的至少一个推断方面，可以在自主模式下控制车辆。
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公开(公告)号：US20160082953A1
公开(公告)日：2016-03-24
申请号：US14864346
申请日：2015-09-24
Applicant: Google Inc.
Inventor： Eric Teller , Peter Lombrozo
CPC classification number: B60W30/08 , B60W30/00 , B60W2420/10 , B60W2420/42 , B60W2420/50 , B60W2420/52 , B60W2420/62 , B60W2520/125 , B60W2520/14 , B60W2520/16 , B60W2520/18 , B60W2540/12 , B60W2540/14 , B60W2550/10 , B60W2550/20 , B60W2550/402 , B60W2900/00 , G05D1/0088 , G05D2201/0213
Abstract: An autonomous vehicle configured for active sensing may also be configured to weigh expected information gains from active-sensing actions against risk costs associated with the active-sensing actions. An example method involves: (a) receiving information from one or more sensors of an autonomous vehicle, (b) determining a risk-cost framework that indicates risk costs across a range of degrees to which an active-sensing action can be performed, wherein the active-sensing action comprises an action that is performable by the autonomous vehicle to potentially improve the information upon which at least one of the control processes for the autonomous vehicle is based, (c) determining an information-improvement expectation framework across the range of degrees to which the active-sensing action can be performed, and (d) applying the risk-cost framework and the information-improvement expectation framework to determine a degree to which the active-sensing action should be performed.
Abstract translation: 配置用于主动感测的自主车辆还可以被配置为从主动感测动作对与主动感测动作相关的风险成本来衡量预期信息增益。 示例性方法包括：（a）从自动车辆的一个或多个传感器接收信息，（b）确定风险成本框架，其指示可以执行主动感测动作的程度的风险成本，其中 主动感测动作包括由自主车辆执行以可能改进自主车辆的至少一个控制过程所基于的信息的动作，（c）在整个范围内确定信息改进期望框架 可以执行主动感测动作的程度，以及（d）应用风险成本框架和信息改进期望框架来确定应该执行主动感测动作的程度。
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