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A low-cost system for indoor motion tracking of unmanned aerial vehicles

机译:一种低成本的无人机室内运动跟踪系统

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摘要

This paper presents development and performance analysis of an indoor low-cost motion tracking system for miniature Unmanned Aerial Vehicles. The proposed system is based on infrared markers embedded on the vehicle, the positions of which are captured in real time by Wiimote infrared cameras. Using at least two of these cameras, vehicle 3D position and orientation can be determined. Implementation of system hardware architecture developed as student research project in academic environment is discussed with its own limitations. Estimation method is presented. System performance analysis is also proposed, addressing optimization of detection area, accuracy and dispersion of measurements, and robustness with respect to outliers and hardware parameters. Experimental results are provided to illustrate system performance and to demonstrate satisfaction of imposed strict constraints for reliable motion tracking of a miniature UAV.
机译:本文介绍了一种用于微型无人机的室内低成本运动跟踪系统的开发和性能分析。所提出的系统基于嵌入在车辆中的红外标记,其位置由Wiimote红外热像仪实时捕获。使用这些相机中的至少两个,可以确定车辆3D的位置和方向。讨论了在学术环境中作为学生研究项目开发的系统硬件体系结构的实现,但有其自身的局限性。提出了估计方法。还提出了系统性能分析,解决了检测区域的优化,测量的准确性和分散性以及离群值和硬件参数的鲁棒性问题。提供实验结果以说明系统性能并证明对微型无人机的可靠运动跟踪所施加的严格约束条件的满意度。

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