Detecting road weather conditions

    公开(公告)号:US09499172B2

    公开(公告)日:2016-11-22

    申请号:US13623422

    申请日:2012-09-20

    申请人: Google Inc.

    IPC分类号: B60W30/00 B60W40/06

    CPC分类号: B60W40/06 B60W2420/62

    摘要: Aspects of the disclosure relate generally to detecting road weather conditions. Vehicle sensors including a laser, precipitation sensors, and/or camera may be used to detect information such as the brightness of the road, variations in the brightness of the road, brightness of the world, current precipitation, as well as the detected height of the road. Information received from other sources such as networked based weather information (forecasts, radar, precipitation reports, etc.) may also be considered. The combination of the received and detected information may be used to estimate the probability of precipitation such as water, snow or ice in the roadway. This information may then be used to maneuver an autonomous vehicle (for steering, accelerating, or braking) or identify dangerous situations.

    Detecting road weather conditions
    2.
    发明授权
    Detecting road weather conditions 有权
    检测道路天气情况

    公开(公告)号:US09110196B2

    公开(公告)日:2015-08-18

    申请号:US13623397

    申请日:2012-09-20

    申请人: Google Inc.

    摘要: Aspects of the disclosure relate generally to detecting road weather conditions. Vehicle sensors including a laser, precipitation sensors, and/or camera may be used to detect information such as the brightness of the road, variations in the brightness of the road, brightness of the world, current precipitation, as well as the detected height of the road. Information received from other sources such as networked based weather information (forecasts, radar, precipitation reports, etc.) may also be considered. The combination of the received and detected information may be used to estimate the probability of precipitation such as water, snow or ice in the roadway. This information may then be used to maneuver an autonomous vehicle (for steering, accelerating, or braking) or identify dangerous situations.

    摘要翻译: 本公开的方面通常涉及检测道路天气状况。 可以使用包括激光,降水传感器和/或照相机的车辆传感器来检测诸如道路的亮度,道路亮度的变化,世界的亮度,当前的降水以及检测到的高度 马路。 也可以考虑从其他来源获得的信息,例如网络天气信息(预测,雷达,降水报告等)。 接收和检测信息的组合可用于估计巷道中的降水概率,例如水,雪或冰。 然后可以使用该信息来操纵自主车辆(用于转向,加速或制动)或识别危险情况。

    MODIFYING BEHAVIOR OF AUTONOMOUS VEHICLES BASED ON SENSOR BLIND SPOTS AND LIMITATIONS
    3.
    发明申请
    MODIFYING BEHAVIOR OF AUTONOMOUS VEHICLES BASED ON SENSOR BLIND SPOTS AND LIMITATIONS 有权
    基于传感器盲点和限制的自动车辆修改行为

    公开(公告)号:US20140214255A1

    公开(公告)日:2014-07-31

    申请号:US13749793

    申请日:2013-01-25

    申请人: Google Inc.

    IPC分类号: G05D1/02

    摘要: Aspects of the present disclosure relate generally to modeling a vehicle's view of its environment. This view need not include what objects or features the vehicle is actually seeing, but rather those areas that the vehicle is able to observe using its sensors if the sensors were completely un-occluded. For example, for each of a plurality of sensors of the object detection component, a computer may an individual 3D model of that sensor's field of view. Weather information is received and used to adjust one or more of the models. After this adjusting, the models may be aggregated into a comprehensive 3D model. The comprehensive model may be combined with detailed map information indicating the probability of detecting objects at different locations. A model of the vehicle's environment may be computed based on the combined comprehensive 3D model and detailed map information and may be used to maneuver the vehicle.

    摘要翻译: 本公开的方面通常涉及对车辆对其环境的观点的建模。 该视图不需要包括车辆实际看到的物体或特征,而是车辆能够使用其传感器观察的区域,如果传感器完全不被遮挡。 例如,对于对象检测组件的多个传感器中的每一个,计算机可以是该传感器的视场的单独的3D模型。 接收天气信息并用于调整一个或多个模型。 经过这种调整,模型可能会聚合成一个全面的3D模型。 综合模型可以与指示在不同位置检测物体的概率的详细地图信息相结合。 车辆的环境模型可以基于综合的综合3D模型和详细的地图信息来计算,并且可以用于操纵车辆。

    DETECTING ROAD WEATHER CONDITIONS
    6.
    发明申请
    DETECTING ROAD WEATHER CONDITIONS 有权
    检测道路天气条件

    公开(公告)号:US20140081573A1

    公开(公告)日:2014-03-20

    申请号:US13623397

    申请日:2012-09-20

    申请人: Google Inc.

    IPC分类号: G01W1/02 G06F19/00 G01B11/30

    摘要: Aspects of the disclosure relate generally to detecting road weather conditions. Vehicle sensors including a laser, precipitation sensors, and/or camera may be used to detect information such as the brightness of the road, variations in the brightness of the road, brightness of the world, current precipitation, as well as the detected height of the road. Information received from other sources such as networked based weather information (forecasts, radar, precipitation reports, etc.) may also be considered. The combination of the received and detected information may be used to estimate the probability of precipitation such as water, snow or ice in the roadway. This information may then be used to maneuver an autonomous vehicle (for steering, accelerating, or braking) or identify dangerous situations.

    摘要翻译: 本公开的方面通常涉及检测道路天气状况。 可以使用包括激光,降水传感器和/或照相机的车辆传感器来检测诸如道路的亮度,道路亮度的变化,世界的亮度,当前的降水以及检测到的高度 马路。 也可以考虑从其他来源获得的信息,例如网络天气信息(预测,雷达,降水报告等)。 接收和检测信息的组合可用于估计巷道中的降水概率,例如水,雪或冰。 然后可以使用该信息来操纵自主车辆(用于转向,加速或制动)或识别危险情况。

    TRAFFIC SIGNAL MAPPING AND DETECTION
    7.
    发明申请
    TRAFFIC SIGNAL MAPPING AND DETECTION 有权
    交通信号的映射和检测

    公开(公告)号:US20140016826A1

    公开(公告)日:2014-01-16

    申请号:US14030397

    申请日:2013-09-18

    申请人: GOOGLE INC.

    IPC分类号: G06K9/00

    摘要: A system and method provides maps identifying the 3D location of traffic lights. The position, location, and orientation of a traffic light may be automatically extrapolated from two or more images. The maps may then be used to assist robotic vehicles or human drivers to identify the location and status of a traffic signal.

    摘要翻译: 系统和方法提供了识别交通灯3D位置的地图。 交通信号灯的位置,位置和方向可以从两个或更多个图像自动地外推。 然后可以使用地图来帮助机器人车辆或人类驾驶员识别交通信号的位置和状态。

    AUTONOMOUS VEHICLE SERVICES
    8.
    发明申请

    公开(公告)号:US20170193627A1

    公开(公告)日:2017-07-06

    申请号:US15358729

    申请日:2016-11-22

    申请人: Google Inc.

    摘要: The technology relates to facilitating transportation services between a user and a vehicle having an autonomous driving mode. For instance, one or more server computing devices having one or more processors may information identifying the current location of the vehicle. The one or more server computing devices may determine that the user is likely to want to take a trip to a particular destination based on prior location history for the user. The one or more server computing devices may dispatch the vehicle to cause the vehicle to travel in the autonomous driving mode towards a location of the user. In addition, after dispatching, the one or more server computing devices sending a notification to a client computing device associated with the user indicating that the vehicle is currently available to take the passenger to the particular destination.

    DETECTING ROAD WEATHER CONDITIONS
    10.
    发明申请

    公开(公告)号:US20140081507A1

    公开(公告)日:2014-03-20

    申请号:US13623422

    申请日:2012-09-20

    申请人: Google Inc.

    IPC分类号: G05D1/00

    CPC分类号: B60W40/06 B60W2420/62

    摘要: Aspects of the disclosure relate generally to detecting road weather conditions. Vehicle sensors including a laser, precipitation sensors, and/or camera may be used to detect information such as the brightness of the road, variations in the brightness of the road, brightness of the world, current precipitation, as well as the detected height of the road. Information received from other sources such as networked based weather information (forecasts, radar, precipitation reports, etc.) may also be considered. The combination of the received and detected information may be used to estimate the probability of precipitation such as water, snow or ice in the roadway. This information may then be used to maneuver an autonomous vehicle (for steering, accelerating, or braking) or identify dangerous situations.