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Volumn 2, Issue , 2003, Pages 2104-2109

Using Bayesian programming for multi-sensor multi-target tracking in automotive applications

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOTIVE ENGINEERING; COLLISION AVOIDANCE; PROGRAMMING THEORY; ROBUSTNESS (CONTROL SYSTEMS);

EID: 0344445454     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (16)
  • 1
    • 0032044899 scopus 로고    scopus 로고
    • A probabilistic approach to concurrent mapping and localization for mobile robots
    • S. Thrun, W. Burgard, and D. Fox. A probabilistic approach to concurrent mapping and localization for mobile robots. Machine Learning and Autonomous Robots, 31(5), 1998.
    • (1998) Machine Learning and Autonomous Robots , vol.31 , Issue.5
    • Thrun, S.1    Burgard, W.2    Fox, D.3
  • 3
    • 0004145324 scopus 로고    scopus 로고
    • Bayesian robots programming
    • Research Report 1, Les Cahiers du Laboratoire Leibniz, Grenoble (FR), May
    • O. Lebeltel, P. Bessiève, J. Diard, and E. Mazer. Bayesian robots programming. Research Report 1, Les Cahiers du Laboratoire Leibniz, Grenoble (FR), May 2000.
    • (2000)
    • Lebeltel, O.1    Bessiève, P.2    Diard, J.3    Mazer, E.4
  • 4
    • 0035036278 scopus 로고    scopus 로고
    • The design and implementation of a bayesian CAD modeler for robotic applications
    • K Mekhnacha, E Mazer, and P Bessier̀re. The design and implementation of a bayesian CAD modeler for robotic applications. Advanced Robotics, 15(1):45-70, 2001.
    • (2001) Advanced Robotics , vol.15 , Issue.1 , pp. 45-70
    • Mekhnacha, K.1    Mazer, E.2    Bessier̀re, P.3
  • 6
    • 0030735959 scopus 로고    scopus 로고
    • An introduction to multisensor data fusion
    • January
    • D. Hall and J. Llinas. An introduction to multisensor data fusion. IEEE Proceedings, 85(1), January 1997.
    • (1997) IEEE Proceedings , vol.85 , Issue.1
    • Hall, D.1    Llinas, J.2
  • 10
    • 0003626756 scopus 로고
    • Probabilistic multi-hypothesis tracking
    • Technical Report 10,428, Naval Undersea Warfare Center Division Newport
    • R.L. Streit and T.E. Luginbuhl. Probabilistic multi-hypothesis tracking. Technical Report 10,428, Naval Undersea Warfare Center Division Newport, 1995.
    • (1995)
    • Streit, R.L.1    Luginbuhl, T.E.2
  • 11
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using bayesian belief network
    • G. Cooper. The computational complexity of probabilistic inference using bayesian belief network. Artificial Intelligence, 42(2-3), 1990.
    • (1990) Artificial Intelligence , vol.42 , Issue.2-3
    • Cooper, G.1
  • 13
    • 85024429815 scopus 로고
    • A new approach to linear filtering and predictions problems
    • March
    • R.E. Kalman. A new approach to linear filtering and predictions problems. Journal of Basic Engineering, March 1960.
    • (1960) Journal of Basic Engineering
    • Kalman, R.E.1
  • 16
    • 0344809252 scopus 로고    scopus 로고
    • Multi-sensor fusion approach for driver assistance systems
    • Bordeaux, France
    • D. Gruyer, M. Mangeas, and R. Alix. Multi-sensor fusion approach for driver assistance systems. In IEEE ROMAN, Bordeaux, France, 2001.
    • (2001) IEEE ROMAN
    • Gruyer, D.1    Mangeas, M.2    Alix, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.