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Volumn , Issue , 2009, Pages 482-489

Embedded realtime feature fusion based on ANN, SVM and NBC

Author keywords

Embedded system; Naive Bayes; Neural network; Realtime feature fusion; Support vector machine

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; CLASSIFICATION RATES; EMBEDDED PLATFORMS; EXECUTION TIME; LASER SENSOR; MULTISENSOR DATA FUSION; NAIVE BAYES; NAIVE BAYES CLASSIFIERS; REAL TIME; REAL-TIME FEATURES; REALTIME FEATURE FUSION; TRAFFIC MONITORING; VEHICLE CLASSIFICATION;

EID: 70449334557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (26)
  • 2
    • 50249137600 scopus 로고    scopus 로고
    • Sensors and Data Fusion Algorithms in Mobile Robotics
    • Technical Report: CSM-422, Department of Computer Science, University of Essex, Colchester CO4 3SQ, United Kingdom
    • H. Hu and J. Q. Gan. Sensors and Data Fusion Algorithms in Mobile Robotics. Technical Report: CSM-422, Department of Computer Science, University of Essex, Colchester CO4 3SQ, United Kingdom, 2005.
    • (2005)
    • Hu, H.1    Gan, J.Q.2
  • 3
    • 85006913326 scopus 로고    scopus 로고
    • Review of multisensor data fusion techniques and their application to autonomous underwater vehicle navigation
    • D. Loebis, R. Sutton, and J. Chudley. Review of multisensor data fusion techniques and their application to autonomous underwater vehicle navigation. Journal of Marine Engineering and Technology, 1:3-14, 2002.
    • (2002) Journal of Marine Engineering and Technology , vol.1 , pp. 3-14
    • Loebis, D.1    Sutton, R.2    Chudley, J.3
  • 6
    • 33644635502 scopus 로고    scopus 로고
    • An adaptive multisensor data fusion system based on wavelet denoising and neural network
    • Quan Liu and Xiaomei Zhang. An adaptive multisensor data fusion system based on wavelet denoising and neural network. Sensors for Harsh Environments II, 5998, 2005.
    • (2005) Sensors for Harsh Environments II , vol.5998
    • Liu, Q.1    Zhang, X.2
  • 7
    • 33750160512 scopus 로고    scopus 로고
    • Optimal Bayesian data fusion and low-complexity approximations for distributed DSCDMA wireless sensor networks in Rayleigh fading
    • S.K. Jayaweera. Optimal Bayesian data fusion and low-complexity approximations for distributed DSCDMA wireless sensor networks in Rayleigh fading. In International Conference on Intelligent Sensing and Information Processing, pages 19-24, 2005.
    • (2005) International Conference on Intelligent Sensing and Information Processing , pp. 19-24
    • Jayaweera, S.K.1
  • 11
    • 0031635694 scopus 로고    scopus 로고
    • An introduction to multisensor data fusion
    • Monterey, CA
    • J. Llinas and D.L. Hall. An introduction to multisensor data fusion. In ISCAS-2008, pages 537-540, Monterey, CA, 1998.
    • (1998) ISCAS-2008 , pp. 537-540
    • Llinas, J.1    Hall, D.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.