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    • 23. 发明公开
    • SENSE AND AVOID MANEUVERING
    • 检测并避免操作
    • EP3276440A1
    • 2018-01-31
    • EP17182957.5
    • 2017-07-25
    • GE Aviation Systems LLC
    • YEH, Kevin
    • G05D1/00G05D1/10
    • G08G5/045G05D1/101G08G5/0008G08G5/0021G08G5/0052G08G5/0069G08G5/0078
    • Systems and methods 400 for navigating an unmanned aerial vehicle 100 are provided. The method 400 includes detecting 402 a possible obstacle. The method includes determining 404 a predicted path for the possible obstacle. The method includes determining 406 that the possible obstacle will cause a collision with the unmanned aerial vehicle 100 based on the predicted path. The method includes determining 408 when the possible obstacle is cooperative. The method includes controlling 410 the unmanned aerial vehicle 100 to perform an avoidance maneuver when the possible obstacle is not cooperative. The method includes determining 412 whether to initiate communications with the possible obstacle when the possible obstacle is cooperative.
    • 提供了用于导航无人驾驶飞行器100的系统和方法400。 方法400包括检测402可能的障碍物。 该方法包括确定404可能障碍物的预测路径。 该方法包括基于预测的路径确定406可能的障碍物将导致与无人驾驶飞行器100的碰撞。 该方法包括确定408何时可能的障碍是合作的。 该方法包括控制410无人驾驶飞行器100以在可能障碍物不协作时执行回避操纵。 该方法包括当可能的障碍物协作时确定412是否发起与可能的障碍物的通信。
    • 24. 发明公开
    • NAVIGATING AN UNMANNED AERIAL VEHICLE
    • 导航无人机空中车辆
    • EP3276306A1
    • 2018-01-31
    • EP17182958.3
    • 2017-07-25
    • GE Aviation Systems LLC
    • CLYNNE, Thomas
    • G01C21/20G01C21/16G05D1/10
    • G05D1/0088B64C39/02G01C21/165G01C21/20G05D1/101G06T5/003G06T7/70G06T2207/10032G06T2207/20201G06T2207/30181G08G5/0021G08G5/0069G08G5/04G08G5/045H04N7/181
    • Systems and methods (500) for navigating an unmanned aerial vehicle (100) are provided. One example aspect of the present disclosure is directed to a method (500) for navigating an unmanned aerial vehicle (100). The method includes capturing (502), by one or more processors (108, 604) associated with a flight management system (104, 600) of an unmanned aerial vehicle (100), one or more images. The method includes assessing (504), by the one or more processors (108, 604), signals from an inertial measurement unit (IMU) (110). The method includes processing (506), by the one or more processors (108, 604), the one or more captured images based on the assessed signals to generate one or more corrected images. The method includes processing (508), by the one or more processors (108, 604), the one or more generated corrected images to approximate position data (610). The method includes causing (510), by the one or more processors (108, 604), the unmanned aerial vehicle (100) to be controlled based on the position data (610).
    • 提供了用于导航无人驾驶飞行器(100)的系统和方法(500)。 本公开的一个示例方面针对用于导航无人驾驶飞行器(100)的方法(500)。 该方法包括由与无人飞行器(100)的飞行管理系统(104,600)相关联的一个或多个处理器(108,604)捕捉(502)一个或多个图像。 该方法包括由一个或多个处理器(108,604)评估来自惯性测量单元(IMU)(110)的信号(504)。 该方法包括由一个或多个处理器(108,604)基于评估的信号来处理(506)一个或多个捕获的图像以生成一个或多个校正的图像。 该方法包括由一个或多个处理器(108,604)处理(508)一个或多个生成的校正图像以近似位置数据(610)。 该方法包括由所述一个或多个处理器(108,604)基于所述位置数据(610)来控制所述无人驾驶飞行器(100)被控制。