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Volumn , Issue , 2007, Pages

Pedestrian tracking and navigation using neural networks and fuzzy logic

Author keywords

Artificial Neural Network; Fuzzy Logic; Kalman filtering; Personal navigation

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; INERTIAL NAVIGATION SYSTEMS; METEOROLOGICAL INSTRUMENTS; NAVIGATION; NEURAL NETWORKS; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS;

EID: 51149099447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WISP.2007.4447525     Document Type: Conference Paper
Times cited : (34)

References (24)
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  • 5
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    • A personal navigation system using low-cost MEMS/GPS/Fluxgate
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    • Cho, S. Y., Lee, K. W., Lee, J. G., A personal navigation system using low-cost MEMS/GPS/Fluxgate, Proceedings of the ION 59th Annual Meeting, June 23-25 2003, Albuquerque, New Mexico, Alexandria, VA, USA, 122-127.
    • (2003) Proceedings of the ION 59th Annual Meeting , pp. 122-127
    • Cho, S.Y.1    Lee, K.W.2    Lee, J.G.3
  • 9
    • 0000200520 scopus 로고    scopus 로고
    • Gravity modeling for high-accuracy GPS/INS integration
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    • Grejner-Brzezinska, D.A.1    Wang, J.2
  • 10
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    • A new extension of the Kalman filter to nonlinear systems
    • April 20-25, Orlando, Florida, USA
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  • 11
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    • GPS/INS enhancement using Neural Networks for autonomous ground vehicle applications
    • Robotics Society of Japan, October, Las Vegas, Nevada, USA
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    • Kaygisiz, B.H.1    Erkmen, A.M.2    Erkmen, I.3
  • 20
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    • Kalman filtering for fuzzy discreet time dynamic systems
    • Simon, D., Kalman filtering for fuzzy discreet time dynamic systems, Applied soft computing, 3(3) (2003), 191-207.
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    • Wan, E. A., van der Merwe, R., Kalman filtering and Neural Networks, Chap. Chapter.7: The Unscented Kalman Filter, (50 pages), Wiley Publishing, Eds. S. Haykin, 2001.
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  • 24
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    • Tightly-coupled GPS/INS integration using unscented Kalman filter and Particle filter
    • September 26-29, Fort Worth, Texas, USA
    • Yi, Y., Grejner-Brzezinska, D.A., Tightly-coupled GPS/INS integration using unscented Kalman filter and Particle filter, Proceedings of the ION GNSS, September 26-29, 2006a, Fort Worth, Texas, USA, 2182-2191.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.