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UAV Navigation based on GPS and Improved deep learning Network and UAV system using the same

机译:基于GPS的UAV导航和改进的深度学习网络和UAV系统使用相同

摘要

An unmanned aerial vehicle to which deep learning-based navigation is applied includes a satellite positioning module that receives satellite location information to determine the first current location, an image information collection unit that acquires visible ray image information and infrared image information, and an image information collection unit. When receiving the collected image information and determining the second current position by referring to the deep learning image information learned in advance to the destination, the first current position and the second current position are simultaneously referenced to determine the moving direction to reach the destination However, if the object corresponding to the deep learning image information learned in advance for a predetermined time is not recognized, the first current location is excluded and the moving direction to reach the destination is determined in real time based on the second current location. It is characterized in that it comprises a control unit.
机译:应用了深度学习的导航的无人驾驶车辆包括卫星定位模块,其接收卫星位置信息以确定第一当前位置,该图像信息收集单元获取可见光图像信息和红外图像信息,以及图像信息收集单位。当通过参考预先学习到目的地学习的深度学习图像信息来接收收集的图像信息并确定第二电流位置时,同时参考第一电流位置和第二电流位置以确定移动方向到达目的地,如果不识别对对应于预先学习预定时间的深度学习图像信息的对象,则排除第一电流位置,并且基于第二当前位置实时确定到达目的地的移动方向。其特征在于它包括控制单元。

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