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基于惯性/磁力传感器的行人3维轨迹跟踪技术 被引量:7

3D Pedestrian Trajectory Tracking Based on Inertial/Magnetic Sensors
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摘要 为实现行人3维轨迹跟踪,采用惯性测量单元和电子罗盘组成的导航模块,固联于步行者鞋面上,根据行人步行运动的周期特性,结合四元数法和改进的航姿参考系统算法对步行姿态角尤其是航向角进行高精度估计.在分析速度误差产生原因的基础上,提出一种新的零速度校正技术,并利用行人垂直方向的步行速度判断步行状态,对高度进行补偿,实现了对行人3维轨迹的高精度跟踪.通过直线往返行走、矩形线路行走、上下楼梯等实验,验证了本文方法的有效性和可行性,实验中2维轨迹精度在0.5 m左右,3维轨迹精度在1 m左右. To achieve 3D pedestrian trajectory tracking, a navigation block tied to the walkers' shoes is used, which combines inertial measurement unit (IMU) and electronic compass to track pedestrian trajectory. Regarding the characteristics of pedestrian movement cycle, an improved Attitude and Heading Reference System (AHRS) algorithm with quaternion is considered to accurately estimate the walking attitude, and especially the heading. After analyzing kinds of reasons for velocity errors, a new zero velocity updata algorithm is developed. Height compensation is realized through judging pedestrian walking state according to the vertical walking speed, and thus 3D pedestrian trajectory is accurately tracked. Some experiments are conducted to demonstrate the effectiveness and feasibility of the proposed method, including straight line round-trip walking, rectangle line walking, and walking up-and-down stairs. In the experiments, the deviation of the 2D trajectory is about 0,5 m and the deviation of the 3D trajectory is about 1 m.
作者 郑威 彭刚
出处 《机器人》 EI CSCD 北大核心 2016年第4期444-450,共7页 Robot
关键词 航向角误差校正 零速度校正 轨迹跟踪 惯性导航 heading error calibration zero velocity updata trajectory tracking inertial navigation
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  • 1马瑞平,魏东,张明廉.一种改进的自适应卡尔曼滤波及在组合导航中的应用[J].中国惯性技术学报,2006,14(6):37-40. 被引量:21
  • 2孙丽,秦永元.捷联惯导系统姿态算法比较[J].中国惯性技术学报,2006,14(3):6-10. 被引量:48
  • 3孙逊,杜小菁,马春艳,成保栋.高动态飞行器姿态解算及三维视景仿真研究[J].系统仿真学报,2007,19(14):3266-3269. 被引量:7
  • 4Krach B, Roberston P. Cascaded estimation architecture for integration of foot-mounted inertial sensors[C]//IEEE Position Location and Navigation Symposium. Monterey, 2008: 112-119.
  • 5Ojeda L, Borenstein J. Non-GPS navigation for security personnel and first responders[J]. The Journal of Navigation, 2007, 60(3): 391-407.
  • 6Feliz R, Zalama E. Pedestrian tracking using inertial sensors[J]. Journal of Physical Agents, 2009(3): 35-43.
  • 7Leardini A., Benedetti M G., Berti L. Rear-foot, mid-foot and fore-foot motion during the stance phase of gait[J]. Gait & Posture, 2007, 25: 453-462.
  • 8Cho S Y, Park C G. MEMS based pedestrian navigation system[J]. The Journal of Navigation, 2006, 59: 135-153.
  • 9Veltink P H, Bussmann H B, Martens W L. Detection of static and dynamic activities using uniaxialacce- lerometers[J]. IEEE Transaction on Rehabilitation Engineering, 1996(4): 375-385.
  • 10SOEHREN W, HAWKINSON W. Prototype personal navigation system [ J ]. Aerospace and Electronic Sys- tems Magazine, IEEE, 2008, 23 (4) : 10-18.

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