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Volumn 4, Issue , 2004, Pages 3124-3128

Improvement of D-S evidential theory in multisensor data fusion system

Author keywords

Basic probability assignment function; Evidence theory; Information fusion

Indexed keywords

ASSIGNMENT FUNCTION; EVIDENCE THEORY; INFORMATION FUSION;

EID: 4444381076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (6)
  • 1
    • 4444364790 scopus 로고    scopus 로고
    • Chinese source
  • 2
    • 4444329019 scopus 로고    scopus 로고
    • Chinese source
  • 3
    • 4444266643 scopus 로고    scopus 로고
    • Chinese source
  • 4
    • 4444341626 scopus 로고    scopus 로고
    • Chinese source
  • 5
    • 0028724071 scopus 로고    scopus 로고
    • Belief formation from observation and belief integration using virtual belief space in dempster-shafer probability model
    • Las Vegas, NV. Oct 2-5
    • Takashi Matsuyama. "Belief Formation from Observation and Belief Integration Using Virtual Belief Space in Dempster-Shafer Probability Model," in Proceedings of the 1994 IEEE International Conference, Las Vegas, NV. Oct 2-5: 379-385.
    • Proceedings of the 1994 IEEE International Conference , pp. 379-385
    • Matsuyama, T.1
  • 6
    • 4444229913 scopus 로고
    • Recursive temporal-spatial information fusion with application to target identification
    • Hong, L. "Recursive Temporal-Spatial Information Fusion with Application to Target Identification," in IEEE Trans. On AES, Vol. 28, No. 4, 1992.
    • (1992) IEEE Trans. on AES , vol.28 , Issue.4
    • Hong, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.