The Lighthouse system was originally developed as tracking system for virtual reality applications. Due to its affordable price, it has also found attractive use-cases in robotics in the past. However, existing works frequently rely on the centralized official tracking software, which make the solution less attractive for UAV swarms. In this work, we consider an open-source tracking software that can run onboard small Unmanned Aerial Vehicles (UAVs) in real-time and enable distributed swarming algorithms. We provide a dataset specifically for the use cases i) flight; and ii) as ground truth for other commonly-used distributed swarming localization systems such as ultra-wideband. We then use this dataset to analyze both accuracy and precision of the Lighthouse system in different use-cases. To our knowledge, we are the first to compare two different Lighthouse hardware versions with a motion capture system and the first to analyze the accuracy using tracking software that runs onboard a microcontroller.
翻译:灯塔系统最初是作为虚拟现实应用的跟踪系统开发的。由于价格低廉,它在过去也发现机器人中具有吸引力的用法。然而,现有的工程经常依赖中央官方跟踪软件,使解决方案对无人驾驶飞行器群的吸引力降低。在这项工作中,我们考虑的是一种开放源跟踪软件,可以在小型无人驾驶飞行器上实时运行,并能够进行分布式升温算法。我们专门为使用案例i)飞行提供了数据集;以及作为其他常用的分布式超广频带等本地化系统的地面真象。我们随后使用该数据集来分析灯塔系统在不同使用案例中的准确性和精确性。据我们所知,我们首先将两个不同的灯塔硬件版本与运动捕捉系统进行比较,然后用在微控制器上运行的跟踪软件来分析准确性。