首页> 外文会议>International Conference on Indoor Positioning and Indoor Navigation >3D Loose-Coupled Fusion of Inertial Sensors for Pedestrian Localization
【24h】

3D Loose-Coupled Fusion of Inertial Sensors for Pedestrian Localization

机译:用于行人定位的惯性传感器的3D松耦合融合

获取原文

摘要

This work focuses on the development of a position tracking algorithm for pedestrians using, simultaneously, two inertial sensors. Our goal is to extend, from 2D to 3D, a loosely-coupled system that combines a foot-mounted inertial navigation system (INS) and a pocket-mounted INS. In order to estimate the vertical displacement of the pedestrian's walked trajectory, we use the pocket INS to detected when the user is walking the stairs. Upon stairs detection, the vertical displacement is estimated through the position estimated by the foot INS. The vertical displacement is then integrated in the filter of the loosely coupled system. The results show an improvement of 48% regarding the average height error of the foot INS. In fact, the estimated height drifts less than the foot INS estimated height when the user walks on a horizontal surface. Nevertheless, the proposed approach does not outperform the pocket INS. In conclusion, the 3D loose coupling has a reduced height drift in horizontal surfaces, while it estimates vertical displacements without any height model.
机译:这项工作着重于开发同时使用两个惯性传感器的行人位置跟踪算法。我们的目标是将一个松耦合系统从2D扩展到3D,该系统结合了脚上安装的惯性导航系统(INS)和袖珍式INS。为了估计行人步行轨迹的垂直位移,我们使用了INS口袋来检测用户何时走楼梯。在检测到楼梯时,通过脚INS估计的位置估计垂直位移。然后将垂直位移整合到松耦合系统的滤波器中。结果表明,脚部INS的平均高度误差提高了48%。实际上,当用户在水平表面上行走时,估计的高度漂移小于脚INS的估计高度。尽管如此,所提出的方法并没有优于袖珍型INS。总之,3D松耦合在水平表面上的高度漂移有所减少,而无需任何高度模型就可以估计垂直位移。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号