传感器网络中高精度目标地理定位与可视化

S. Lemaire, C. Bodensteiner, Michael Arens
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引用次数: 1

摘要

先前获得的地理参考图像的广泛可用性使基于自动视频的高精度目标地理定位和协作可视化解决方案成为可能。我们提出了一个系统,该系统可以在无人机视频流中看到地理参考对象,将这些信息分发到传感器网络中,并使用增强现实技术在现代智能手机上进行可视化。采用Mini-UAV(“MD-400”)和高空UAV视频片段结合现代现成智能手机,实验验证了该方法的可行性。应用广泛,包括例如危机和灾害管理或军事应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High precision object geo-localization and visualization in sensor networks
The wide availability of previously acquired, geo-referenced imagery enables automatic video based solutions for high precision object geo-localization and cooperative visualization. We present a system which geo-references objects seen in UAV video streams, distributes this information in a sensor network and visualizes them on modern smartphones using augmented reality techniques. The feasibility of the approach was experimentally validated using Mini-UAV ("MD-400") and high altitude UAV video footage in combination with modern off-the-shelve smartphones. Applications are widespread and include for instance crisis and disaster management or military applications.
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