Pedestrian Tracking and Navigation Using Neural Networks and Fuzzy Logic
暂无分享,去创建一个
[1] J. Sasiadek,et al. Sensor fusion based on fuzzy Kalman filter , 2001, Proceedings of the Second International Workshop on Robot Motion and Control. RoMoCo'01 (IEEE Cat. No.01EX535).
[2] Dan Simon. Kalman filtering for fuzzy discrete time dynamic systems , 2003, Appl. Soft Comput..
[3] Charles K. Toth,et al. MULTI-SENSOR PERSONAL NAVIGATOR SUPPORTED BY HUMAN MOTION DYNAMICS MODEL , 2006 .
[4] Jessica Lowell. Neural Network , 2001 .
[5] Dorota A. Grejner-Brzezinska,et al. Tightly-coupled GPS/INS Integration Using Unscented Kalman Filter and Particle Filter , 2006 .
[6] T. J. Brand,et al. Foot-to-Foot Range Measurement as an Aid to Personal Navigation , 2003 .
[7] Ismet Erkmen,et al. GPS/INS enhancement using neural networks for autonomous ground vehicle applications , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).
[8] Charles K. Toth,et al. Adaptive Knowledge-based System for Personal Navigation in GPS-denied Environments , 2007 .
[9] Günther Retscher,et al. NAVIO – A Navigation and Guidance Service for Pedestrians , 2004 .
[10] Jose C. Principe,et al. Neural and adaptive systems , 2000 .
[11] S. Haykin. Kalman Filtering and Neural Networks , 2001 .
[12] Shigeo Abe,et al. Neural Networks and Fuzzy Systems , 1996, Springer US.
[13] Gérard Lachapelle,et al. Performance of Integrated HSGPS-IMU Technology for Pedestrian Navigation under Signal Masking , 2006 .
[14] Jeffrey K. Uhlmann,et al. New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.
[15] Dorota A. Grejner-Brzezinska,et al. Gravity Modeling for High‐Accuracy GPS/INS Integration , 1998 .
[16] N. El-Sheimy,et al. Improvement of MEMS-IMU/GPS performance using fuzzy modeling , 2006 .