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    • 4. 发明申请
    • IMAGE ZOOMING USING PRE-EXISTING IMAGING INFORMATION
    • 使用先前成像信息的图像变焦
    • WO2010135129A1
    • 2010-11-25
    • PCT/US2010/034654
    • 2010-05-13
    • GOOGLE INC.ZHU, Jiajun
    • ZHU, Jiajun
    • G06K9/54
    • H04N1/3871H04N1/00204H04N1/00244H04N1/00307H04N2201/0084H04N2201/3253
    • Aspects of the invention pertain to enhanced zooming capability of user devices A user device such as a mobile phone with a camera may capture images of different objects of interest The capture and zooming limitations of the user device are overcome by replacing, supplementing or otherwise enhancing the image taken with one or more geo-coded images stored in a database For instance, if the user attempts to zoom in on a feature of an object of interest and exceeds the zooming capability of the user device, a request is sent to a remote server to provide an image showing the feature of the object of interest at a desired resolution The server determines which, if any, stored images correlate to the captured image of the object of interest The resulting imagery is provided to the user device and is presented on a display.
    • 本发明的方面涉及用户设备的增强缩放能力诸如具有照相机的移动电话的用户设备可以捕获不同感兴趣对象的图像通过替换,补充或以其它方式增强用户设备的捕获和缩放限制来克服用户设备的捕获和缩放限制 使用存储在数据库中的一个或多个地理编码图像拍摄的图像例如,如果用户尝试放大感兴趣对象的特征并超过用户设备的缩放能力,则向远程服务器发送请求 提供以期望的分辨率显示感兴趣对象的特征的图像。服务器确定存储的图像(如果有的话)与所感兴趣的对象的所捕获的图像相关联。所得到的图像被提供给用户设备并呈现在 显示。
    • 9. 发明申请
    • VEHICLE CONTROL BASED ON PERCEPTION UNCERTAINTY
    • 基于情感不确定性的车辆控制
    • WO2013116141A1
    • 2013-08-08
    • PCT/US2013/023399
    • 2013-01-28
    • GOOGLE INC.
    • ZHU, JiajunDOLGOV, Dmitri, A.FERGUSON, David, I.
    • B60W30/08B60W30/00B60W10/04B60W40/02
    • G05D1/0088G05D2201/0213
    • Aspects of the disclosure relate generally to maneuvering autonomous vehicles. Specifically, the vehicle (101) may determine the uncertainty in its perception system and use this uncertainty value to make decisions about how to maneuver the vehicle. For example, the perception system may include sensors (310-311, 321-323, 330-331), object type models, and object motion models (146), each associated with uncertainties. The sensors may be associated with uncertainties based on the sensor's range, speed, and /or shape of the sensor field (421A-423A, 421B-423B). The object type models may be associated with uncertainties, for example, in whether a perceived object is of one type (such as a small car) or another type (such as a bicycle). The object motion models may also be associated with uncertainties, for example, not all objects will move exactly as they are predicted to move. These uncertainties may be used to maneuver the vehicle.
    • 本公开的方面通常涉及操纵自主车辆。 具体来说,车辆(101)可以确定其感知系统的不确定性,并使用该不确定性值来作出关于如何操纵车辆的决定。 例如,感知系统可以包括传感器(310-311,321-323,330-331),对象类型模型和对象运动模型(146),每个都与不确定性相关联。 传感器可以基于传感器的范围,速度和/或形状(421A-423A,421B-423B)与不确定性相关联。 对象类型模型可能与不确定性相关联,例如,感知对象是否是一种类型(例如小型轿厢)或另一类型(例如自行车)。 对象运动模型也可能与不确定性相关联,例如,并不是所有的对象将按照预测的移动精确地移动。 这些不确定性可用于操纵车辆。
    • 10. 发明申请
    • A METHOD TO DETECT NEARBY AGGRESSIVE DRIVERS AND ADJUST DRIVING MODES
    • 一种检测近似驱动器和调整驱动模式的方法
    • WO2014130178A1
    • 2014-08-28
    • PCT/US2014/011779
    • 2014-01-16
    • GOOGLE INC.
    • DROZ, Pierre-yvesZHU, Jiajun
    • B60W30/00B60W30/08B60W40/02B60R21/00
    • G08G1/161B60W50/0098B60W2050/0075B60W2420/42B60W2550/308G01S17/936G06K9/00805G08G1/015G08G1/166
    • A computing device may be configured to receive sensor information indicative of respective characteristics of vehicles on a road of travel of a first vehicle. The computing device may be configured to identify, based on the respective characteristics, a second vehicle that exhibits an aggressive driving behavior manifested as an unsafe or unlawful driving action. Also, based on the respective characteristics, the computing device may be configured to determine a type of the second vehicle. The computing device may be configured to estimate a distance between the first vehicle and the second vehicle. The computing device may be configured to modify a control strategy of tire first vehicle, based on the aggressive driving behavior of the second vehicle, the type of the second vehicle, and the distance between the first vehicle and the second vehicle; and control the first vehicle based on the modified control strategy.
    • 计算设备可以被配置为接收指示在第一车辆的行驶道路上的车辆的各自特征的传感器信息。 计算设备可以被配置为基于相应的特征来识别呈现为不安全或非法驾驶动作的侵略性驾驶行为的第二车辆。 此外,基于各自的特性,计算装置可以被配置为确定第二车辆的类型。 计算设备可以被配置为估计第一车辆和第二车辆之间的距离。 计算装置可以被配置为基于第二车辆的积极驾驶行为,第二车辆的类型以及第一车辆与第二车辆之间的距离来修改轮胎第一车辆的控制策略; 并根据修改的控制策略控制第一辆车。