微型无人机的室内定位和导航-工作正在进行中

B. Ben Moshe, N. Shvalb, J. Baadani, I. Nagar, H. Levy
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引用次数: 15

摘要

无人驾驶飞行器(UAV)用于各种目的,例如搜索和救援,各种军事任务和航空摄影。本文主要研究了微型无人机在室内环境下的定位和导航方法,这可能是无人机最具挑战性的环境。本文提出了一种由光流传感器、方位传感器、距离传感器和几何相机组成的新型虚拟传感器。我们用来构建这种传感器的组件非常小,重量很轻,因此适合微型无人机。我们讨论了这种融合传感器的细节,并解释了为什么它的能力与通常更大、更昂贵、需要更多计算资源的替代解决方案的能力相当,有时甚至更好。我们的实验结果包括半自主微型无人机无人机的演示,该无人机成功地在不熟悉的室内环境中导航。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indoor positioning and navigation for micro UAV drones — Work in progress
Unmanned Aerial Vehicles (UAV) are used for various purposes, such as search and rescue, various military missions and aerial photography. This work focuses on positioning and navigation methods for micro UAV drones operating in indoor environments, which are probably the most challenging environments for UAVs. We present a new virtual sensor comprised of an optical-flow sensor, an orientation sensor, a range sensor and a geometric camera. The components we have used to construct this sensor are very small and lightweight, and therefore suitable for micro UAVs. We discuss the specifics of this fusion sensor and explain why its capabilities are equivalent and occasionally superior to the capabilities of alternative solutions that are typically larger, more expensive and require significantly more computing resources. Our experimental results include a demonstration of a semi-autonomous micro UAV drone that succeeds to navigate in an unfamiliar indoor environment.
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