Invited Speaker 1: Navigation without GPS for Unmanned Aerial Vehicles

Lin Feng
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Abstract

In recent years, research and development of unmanned aerial vehicles (UAVs) have gained much attention in the academic and industrial communities worldwide. Extensive research and development have been done for UAVs to operate in complex and unknown environments, especially in GPS-denied environments. Consideration of a wide range of factors needs to be observed in such environments. Control systems for the unmanned vehicles are required to integrate, not only the basic input-output control laws but also the high-level functionalities for perception, decision making and task scheduling. Software systems for unmanned vehicles are required to perform tasks from hardware driving to the management of device operations, and from traditional input-output control law implementation to sensing, task scheduling and event management. In this talk, in-depth research in the advanced autonomous systems on UAVs is presented, involving automate flight process in GPS-denied environments, such as below the forest canopy or indoor environments, in which a board range of sensing and navigation technologies have been used. The sensors and algorithms plan the drones' flight paths, make sense of where they are, and to ensure that they do not collide with obstacles. All these are done automatically with no human intervention. The proposed systems have been successfully tested in both simulations and real flight experiments. Several related applications of the autonomous systems on UAVs will also be presented.
特邀演讲者1:无人驾驶飞行器无GPS导航
近年来,无人飞行器的研究和发展受到了世界学术界和工业界的广泛关注。为了让无人机在复杂和未知的环境中运行,特别是在gps拒绝的环境中,已经进行了广泛的研究和开发。在这样的环境中,需要考虑各种各样的因素。无人驾驶车辆的控制系统不仅需要集成基本的输入输出控制规律,而且需要集成感知、决策和任务调度等高级功能。从硬件驱动到设备运行管理,从传统的输入输出控制律实施到传感、任务调度和事件管理,都需要无人驾驶车辆的软件系统来完成。在这次演讲中,深入研究了无人机上的先进自主系统,包括在gps拒绝环境中自动飞行过程,例如在森林树冠下或室内环境中,其中使用了一系列传感和导航技术。传感器和算法会规划无人机的飞行路线,确定它们的位置,并确保它们不会与障碍物相撞。所有这些都是自动完成的,没有人为干预。所提出的系统已经在模拟和实际飞行实验中成功地进行了测试。还将介绍自主系统在无人机上的几个相关应用。
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