基于场景的高精度个人定位系统评估

J. Rantakokko, E. Emilsson, P. Stromback, J. Rydell
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引用次数: 15

摘要

脚装惯性传感器与gps接收器、磁力计和气压传感器相结合,在为急救人员和军事应用提供高精度定位系统方面显示出巨大的潜力。几个因素,包括运动类型、表面和轨迹形状,可以强烈地影响脚载惯性导航系统的性能。有必要进行现实的基于场景的评估,作为文献中已发表的受控环境测试的补充。在这项工作中,我们在基于现实场景的测量中评估了使用三轴加速度计,陀螺仪和磁力计的脚载惯性导航系统的性能。定位精度通过使用基于相机的参考系统进行评估,该系统使用略微修改版本的ARToolKitPlus软件,将自身定位于预先测量位置的视觉标记。在四次独立的高节奏建筑物清理行动中,每次大约持续三分半钟,最大位置误差为2.5至5.5米。通过实现自适应静止检测算法,可以进一步提高精度,并提高对不同运动模式的鲁棒性。
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Scenario-based evaluations of high-accuracy personal positioning systems
Foot-mounted inertial sensors combined with GPS-receivers, magnetometers, and barometric pressure sensors have shown great potential in providing high-accuracy positioning systems for first responder and military applications. Several factors, including the type of movement, surface, and the shape of the trajectory, can strongly influence the performance of foot-mounted inertial navigation systems. There is a need for realistic scenario-based evaluations as a complement to the controlled environment tests that have been published in the literature. In this work we evaluate the performance of a foot-mounted inertial navigation system using three-axis accelerometers, gyroscopes and magnetometers during realistic scenario-based measurements. The position accuracy is evaluated by using a camera-based reference system which positions itself towards visual markers placed at pre-surveyed positions, using a slightly modified version of the ARToolKitPlus software. Maximum position errors of 2.5 to 5.5 meters were obtained during four separate high-tempo building clearing operations that lasted approximately three and a half minutes each. Further improvements in accuracy, as well as improved robustness towards different movement patterns, can be achieved by implementing an adaptive stand-still detection algorithm.
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