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Volumn 2, Issue , 2004, Pages 936-943

The IFD03 information fusion demonstrator

Author keywords

Demonstrator concept; Force aggregation; Group tracking; Scenario simulation; Sensor allocation; Sensor modelling; Terrain modelling

Indexed keywords

COMPUTER SIMULATION; INFORMATION ANALYSIS; MONTE CARLO METHODS; RESEARCH AND DEVELOPMENT MANAGEMENT; USER INTERFACES;

EID: 6344261773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (22)
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    • Per Svensson and Pontus Höling. Building an information fusion demonstrator. In Proc. Sixth Int. Conf. Information Fusion, pages 1316-1323, Cairns, Queensland, Australia, 8-11 July 2003. Int. Soc. Information Fusion, Sunnyvale, CA, 2003.
    • (2003) Proc. Sixth Int. Conf. Information Fusion , pp. 1316-1323
    • Svensson, P.1    Höling, P.2
  • 2
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  • 8
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    • Dempster-Shafer clustering using Potts spin mean field theory
    • Mats Bengtsson and Johan Schubert. Dempster-Shafer clustering using Potts spin mean field theory. Soft Computing 5(3):215-228, 2001.
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    • Bengtsson, M.1    Schubert, J.2
  • 9
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    • Clustering belief functions based on attracting and conflicting metalevel evidence
    • Bernadette Bouchon-Meunier, Laurent Foulloy, and Ronald R. Yager, editors, Elsevier Science, Amsterdam
    • Johan Schubert. Clustering belief functions based on attracting and conflicting metalevel evidence. In Bernadette Bouchon-Meunier, Laurent Foulloy, and Ronald R. Yager, editors, Intelligent Systems for Information Processing: From Representation to Applications, pages 349-360, Elsevier Science, Amsterdam, 2003.
    • (2003) Intelligent Systems for Information Processing: from Representation to Applications , pp. 349-360
    • Schubert, J.1
  • 10
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    • Clustering belief functions based on attracting and conflicting metalevel evidence using Potts spin mean field theory
    • to appear
    • Johan Schubert. Clustering belief functions based on attracting and conflicting metalevel evidence using Potts spin mean field theory. Information Fusion, to appear.
    • Information Fusion
    • Schubert, J.1
  • 11
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    • Evidential force aggregation
    • Cairns, Queensland, Australia, 8-11 July 2003. Int. Soc. Information Fusion, Sunnyvale, CA
    • Johan Schubert. Evidential Force Aggregation. In Proc. Sixth Int. Conf. Information Fusion, pages 1223-1229, Cairns, Queensland, Australia, 8-11 July 2003. Int. Soc. Information Fusion, Sunnyvale, CA, 2003.
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  • 13
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    • Multi-target particle filtering for the probability hypothesis density
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    • Hedvig Sidenbladh. Multi-target particle filtering for the probability hypothesis density. In Proc. Sixth Int. Conf. Information Fusion, Pages 800-806, Cairns, Queensland, Australia, 8-11 July 2003. Int. Soc. Information Fusion, Sunnyvale, CA, 2003.
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  • 14
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    • Multitarget filtering using a multitarget first-order moment statistic
    • Ivan Kadar, editor, Orlando, FL, USA, 16-18 April 2001. SPIE, Bellingham, WA
    • Ronald P. Mahler and Tim Zajic. Multitarget filtering using a multitarget first-order moment statistic. In Ivan Kadar, editor, Proc. SPIE Vol. 4380 Signal Processing, Sensor Fusion and Target Recognition X, pages 184-195, Orlando, FL, USA, 16-18 April 2001. SPIE, Bellingham, WA, 2001.
    • (2001) Proc. SPIE Vol. 4380 Signal Processing, Sensor Fusion and Target Recognition X , vol.4380 , pp. 184-195
    • Mahler, R.P.1    Zajic, T.2
  • 15
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    • (2002) Information Fusion , vol.3 , Issue.2 , pp. 163-186
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.