Guided K-9 Tracking Improvements Using GPS, INS, and Magnetometers

被引:0
|
作者
Miller, Jeff [1 ]
Bevly, David M. [1 ]
机构
[1] Auburn Univ, GPS & Vehicle Dynam Lab, Auburn, AL 36849 USA
关键词
POSITIONING SYSTEM GPS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A GPS/INS sensor suite, including magnetometers, was attached by a vest to a canine (K-9) in order to attain characteristic position and orientation data during typical canine behavioral motion. For better accuracy, the sensors were combined using a hybrid Extended Kalman Filter (EKF) and then examined to see if the orientation EKF output correctly portrayed the canine motions when magnetometers were present and GPS outages occurred. Special tuning of the EKF was required due to the unique motion characteristics inherent in canines. However, the EKF was found to be effective in achieving accurate orientation tracking results for the canine during GPS outages. Results show that the low-cost GPS/INS system with magnetometers can provide information about the canine's motion, including the canine's current position and heading.
引用
收藏
页码:1038 / 1047
页数:10
相关论文
共 13 条
  • [11] Performance enhancement for ultra-tight GPS/INS integration using a fuzzy adaptive strong tracking unscented Kalman filter
    Dah-Jing Jwo
    Chi-Fan Yang
    Chih-Hsun Chuang
    Ting-Yu Lee
    Nonlinear Dynamics, 2013, 73 : 377 - 395
  • [12] Performance enhancement for ultra-tight GPS/INS integration using a fuzzy adaptive strong tracking unscented Kalman filter
    Jwo, Dah-Jing
    Yang, Chi-Fan
    Chuang, Chih-Hsun
    Lee, Ting-Yu
    NONLINEAR DYNAMICS, 2013, 73 (1-2) : 377 - 395
  • [13] Robust GPS/INS/DVL Navigation and Positioning Method Using Adaptive Federated Strong Tracking Filter Based on Weighted Least Square Principle
    Xiong, Hailiang
    Mai, Zhenzhen
    Tang, Juan
    He, Fen
    IEEE ACCESS, 2019, 7 : 26168 - 26178