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Volumn , Issue , 2009, Pages 459-464

Probabilistic situation recognition for vehicular traffic scenarios

Author keywords

[No Author keywords available]

Indexed keywords

CURRENT SITUATION; DYNAMIC ENVIRONMENTS; PROBABILISTIC APPROACHES; SIMULATED DATA; SITUATION RECOGNITION; SOURCES OF UNCERTAINTY; TRACKED VEHICLES; VEHICULAR TRAFFIC;

EID: 70350380667     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2009.5152838     Document Type: Conference Paper
Times cited : (71)

References (20)
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  • 7
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    • Bennett, B.1    Cohn, A.G.2    Wolter, F.3    Zakharyaschev, M.4
  • 8
    • 9444251379 scopus 로고    scopus 로고
    • Qualitative spatio-temporal reasoning with rcc-8 and allen's interval calculus: Computational complexity
    • A. Gerevini and B. Nebel, "Qualitative spatio-temporal reasoning with rcc-8 and allen's interval calculus: Computational complexity." in ECAI, 2002, pp. 312-316.
    • (2002) ECAI , pp. 312-316
    • Gerevini, A.1    Nebel, B.2
  • 9
    • 0020849266 scopus 로고
    • Maintaining knowledge about temporal intervals
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    • Allen, J.F.1
  • 12
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    • Rabiner, L.1
  • 13
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    • Coupled hidden markov models for complex action recognition
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    • Brand, M.1    Oliver, N.2    Pentland, A.3
  • 14
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden markov models
    • Z. Ghahramani and M. I. Jordan, "Factorial hidden markov models," Machine Learning, vol. 29, no. 2-3, pp. 245-273, 1997.
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    • Ghahramani, Z.1    Jordan, M.I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.