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Volumn , Issue , 2003, Pages 817-821

Multi-sensor Data Fusion Structures in Autonomous Systems: A Review

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; FEATURE EXTRACTION; INTELLIGENT CONTROL; RADAR TARGET RECOGNITION; ROBOT APPLICATIONS; SIGNAL PROCESSING;

EID: 0345528826     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (22)
  • 3
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    • An introduction to multisensor data fusion
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    • Hall L David. An introduction to multisensor data fusion. Proceedings of the IEEE, Vol. 85, No. 1, January 1997
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    • David, H.L.1
  • 4
    • 0032180627 scopus 로고    scopus 로고
    • The human-based mitisensor fusion method for artificial nose and tongue sensor data
    • Wide P, Winquist F. The human-based mitisensor fusion method for artificial nose and tongue sensor data. IEEE Trans. On Instrum. Meas. 1999-45(5): 1072-1077
    • (1999) IEEE Trans. On Instrum. Meas. , vol.45 , Issue.5 , pp. 1072-1077
    • Wide, P.1    Winquist, F.2
  • 5
    • 0031675441 scopus 로고    scopus 로고
    • Three-component signal recognition using time, time-frequency, and polarization information Application to seismic detection of avalanches
    • Leprettre B, Martin N, Glangeaud F, and Navarre J P. Three-component signal recognition using time, time-frequency, and polarization information Application to seismic detection of avalanches. IEEE Trans. On Signal Process. 1998-46(1):83-102
    • (1998) IEEE Trans. On Signal Process , vol.46 , Issue.1 , pp. 83-102
    • Leprettre, B.1    Martin, N.2    Glangeaud, F.3    Navarre, J.P.4
  • 10
    • 0032663421 scopus 로고    scopus 로고
    • Virtual associative networks: A new paradigm for sensor fusion
    • Algorithms, and Applications III Apr 79, Orlando, FL., USA, 1999-3719
    • Malhotra, Raj P.; Yufik, Yan M. Virtual associative networks: a new paradigm for sensor fusion. Proceedings of SPIE - the 1999 Sensor Fusion: Architectures, Algorithms, and Applications III Apr 79 1999, Orlando, FL., USA, 1999-3719: 43-50
    • (1999) Proceedings of SPIE - The 1999 Sensor Fusion: Architectures , pp. 43-50
    • Malhotra, R.P.1    Yufik, Y.M.2
  • 11
  • 12
    • 0344091663 scopus 로고    scopus 로고
    • Robotic obstacle detection and environment modeling based on multi-sensor data fusion
    • 19997
    • Wu Yongge, Huang Jung, Yang Jingyu. Robotic obstacle detection and environment modeling based on multi-sensor data fusion. Journal of Automation, 19997-23(5)
    • Journal of Automation , vol.23 , Issue.5
    • Wu, Y.1    Huang, J.2    Yang, J.3
  • 13
    • 0344091658 scopus 로고    scopus 로고
    • Fuzzy-neural network based feature information fusion
    • Jing Zhongliang, Yang Yongsheng, Li Jianxung, Dai Guangzhong. Fuzzy-neural network based feature information fusion. Control and Decision, 1997-12(5)
    • (1997) Control and Decision , vol.12 , Issue.5
    • Jing, Z.1    Yang, Y.2    Li, J.3    Dai, G.4
  • 14
    • 0344091659 scopus 로고    scopus 로고
    • Multi-sensor integration and data fusion and its applications in robotics
    • Huang Xinhan. Multi-sensor integration and data fusion and its applications in robotics. Journal of South-center Industrial University of China, 1998-12: 16-19
    • (1998) Journal of South-center Industrial University of China , vol.12 , pp. 16-19
    • Huang, X.1
  • 17
    • 0344091661 scopus 로고
    • Special Issue on Distributed Sensor Networks
    • Sept./Oct.
    • Special Issue on Distributed Sensor Networks. IEEE Trans. On Man, Machine, and Cybernetics, Sept./Oct. 1991
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  • 19
    • 0024818932 scopus 로고
    • Sensor integration and data fusion
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    • Stelios C. A. Thomopoulos. Sensor integration and data fusion. SPIE Vol.1198, Sensor Fusion II:Human and Machine Strategies, 1989
    • (1989) SPIE , vol.1198
    • Thomopoulos, S.C.A.1
  • 22


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.