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    • 1. 发明授权
    • Determining when to drive autonomously
    • 确定何时自主驾驶
    • US08718861B1
    • 2014-05-06
    • US13444215
    • 2012-04-11
    • Michael Steven MontemerloHyman Jack MurveitChristopher Paul UrmsonDmitri A. DolgovPhilip Nemec
    • Michael Steven MontemerloHyman Jack MurveitChristopher Paul UrmsonDmitri A. DolgovPhilip Nemec
    • G05D1/00
    • G05D1/0061B60W30/00G05D2201/0213
    • Aspects of the disclosure relate generally to determining whether an autonomous vehicle should be driven in an autonomous or semiautonomous mode (where steering, acceleration, and braking are controlled by the vehicle's computer). For example, a computer may maneuver a vehicle in an autonomous or a semiautonomous mode. The computer may continuously receive data from one or more sensors. This data may be processed to identify objects and the characteristics of the objects. The detected objects and their respective characteristics may be compared to a traffic pattern model and detailed map information. If the characteristics of the objects deviate from the traffic pattern model or detailed map information by more than some acceptable deviation threshold value, the computer may generate an alert to inform the driver of the need to take control of the vehicle or the computer may maneuver the vehicle in order to avoid any problems.
    • 本公开的方面通常涉及确定自主车辆是否应以自主或半自主模式(其中转向,加速和制动由车辆的计算机控制)驱动。 例如,计算机可以以自主或半自主的方式操纵车辆。 计算机可以连续地从一个或多个传感器接收数据。 可以处理该数据以识别对象和对象的特征。 可以将检测到的对象及其各自的特征与交通模式模型和详细地图信息进行比较。 如果物体的特征偏离交通模式模型或详细地图信息超过一些可接受的偏差阈值,则计算机可以产生警报以通知驾驶员需要控制车辆,或者计算机可以操纵 车辆为了避免任何问题。