Journal of the Institute of Electronics Engineers of Korea CI (전자공학회논문지CI)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Intelligent Navigation System Using Fuzzy Logic

퍼지 로직을 이용한 지능형 네비게이션 시스템

  • Lee Bong-Woo (School of Electrical and Electronic Engineering Chung-Ang University) ;
  • Choi Woo-Kyung (School of Electrical and Electronic Engineering Chung-Ang University) ;
  • Jeon Hong-Tae (School of Electrical and Electronic Engineering Chung-Ang University)
  • 이봉우 (중앙대학교 전자전기공학부) ;
  • 최우경 (중앙대학교 전자전기공학부) ;
  • 전홍태 (중앙대학교 전자전기공학부)
  • Published : 2006.07.01
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Abstract

A car became that is essential already, and enjoy convenient benefit still more according as car skill is developed in modern's life. But, threaded other additional systems to use a car little more conveniently and representative thing is Navigation. Current Navigation system is not escaping greatly in mechanical system that do only unilateral guidance. Wish to propose about intelligence style Navigation that foretell driver's inclination and guide correct route to him because this treatise takes advantage of fuzzy logic. Verify algorithm that propose oriented Navigation algorithm the future that do path guidance by user's inclination within extent that do not escape greatly in most important final cause fast path proposition of Navigation and is proposed through an experiment.

현대인의 생활에서 자동차는 이미필수적인 것이 되었고, 자동차 기술이 발달하게 됨에 따라 더욱 더 편리한 혜택을 누리고 있다. 그러나 자동차를 좀 더 편리하게 이용하고자 다른 부가적인 시스템들을 장착하게 되었고 대표적인 것이 네비게이션이다. 현재 네비게이션 시스템은 단지 일방적인 길안내만을 해주는 기계적인 시스템에서 크게 벗어나지 못하고 있다. 본 논문에서는 퍼지 로직을 이용하여 운전자의 성향을 판단하고 그에 맞는 경로를 안내해주는 지능형 네비게이션에 대하여 제안하고자 한다. 네비게이션의 가장 중요한 목적인 빠른 경로안내에 크게 벗어나지 않는 범위 내에서 사용자의 성향에 따른 경로 안내를 해주는 미래 지향적인 네비게이션 알고리즘을 제안하고 모의 주행을 통한 제안된 알고리즘을 검증한다.

Keywords

References

  1. P. T. Shaw, S. Peaslee, and. M. O. Ferguson, 'Integrated and distributed Position Navigation and Timing (PNT) data in shipboard environments,' MTS/IEEE TECHNO-OCEAN '04, Vol. 2, pp. 796-801, 9-12 Nov. 2004 https://doi.org/10.1109/OCEANS.2004.1405550
  2. Yao Iianchao, 'A new scheme of vision based navigation for flying vehicles-concept study and experiment evaluation,' Control, Automation, Robotics and Vision, ICARCV 2002. 7th International Conference, Vol. 2, pp. 643-648, 2-5 Dec. 2002 https://doi.org/10.1109/ICARCV.2002.1238499
  3. A. Djunaidy, F. Samopa, and S. Halim 'Development of a Web navigation guide system based on the hypertext probabilistic grammar,' Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference, Vol. 1, pp. 317 - 322 28-31 Oct. 2002 https://doi.org/10.1109/APCCAS.2002.1114961
  4. M. Sugeno, M. Nishida , 'Fuzzy control of model of model car,' Fuzzy Sets Syst., Vol. 16, pp. 103-113, 1985 https://doi.org/10.1016/S0165-0114(85)80011-7
  5. T. Tagaki and M. Sugeno, 'Fuzzy identification of System and Its Applications to Modeling and Control,' IEEE Trans. Syst. Man Cybern., Vol. SMC-15, pp, 116-132, 1985
  6. Chin-Teng Lin and Ya-Ching Lu, 'A neural fuzzy system with fuzzy supervised learning,' IEEE Transactions, Vol.1, No.5, pp. 744-763, Oct. 1966 https://doi.org/10.1109/3477.537316
  7. S. Chen, S. A Billings, and P. M. Grant, 'Nonlinear system identification using neural networks,' Int. j. Contr., Vol. 51, No.6, pp. 1191-1214, 1990 https://doi.org/10.1080/00207179008934126
  8. S. R. Chi, R. Shouresshi, and M. Tenorio, 'Neural networks for system identification,' IEEE Contr. Syst, Mag., Vol. 10, No. 4 pp. 31-34, 1990 https://doi.org/10.1109/37.55121
  9. K, Daniel Wong, and Donald C. COX, 'Two-state pattern-recognition handoffs for corner-turning situations,' IEEE Trans, pp 354-363, March, 200l https://doi.org/10.1109/25.923048
  10. A Guez, J. L. Eilbert, and M. Kam, 'Neural Network Architecture for Control,' IEEE Control Systems Magazine, Vol.1, No.7, pp. 22-24, April, 1988 https://doi.org/10.1109/37.1869