混合自跟踪器的小型化、校准和精度评估

E. Foxlin, L. Naimark
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引用次数: 42

摘要

我们之前已经展示了一款用于AR、可穿戴计算和移动机器人应用的新型视觉/惯性混合自跟踪器的原型。在本文中,我们描述了一个新的原型系统,大大减少了体积、重量、功耗和成本,同时通过仔细的校准提高了性能。我们详细描述了校准方法,并给出了结果,以显示相机校准和集成跟踪系统所达到的高精度水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Miniaturization, calibration & accuracy evaluation of a hybrid self-tracker
We have previously presented a prototype of a novel vision/inertial hybrid self-tracker intended for AR, wearable computing and mobile robotics applications. In this paper we describe a new prototype of the system which has been greatly reduced in size, weight, power consumption and cost, while simultaneously improved in performance through careful calibration. We describe the calibration approach in detail and present results to show the high accuracy levels achieved for the camera calibration and for the integrated tracking system.
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