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Volumn 4, Issue , 2004, Pages 3424-3429

Appearance-based concurrent map building and localization using a multi-hypotheses tracker

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; IMAGE PROCESSING; KALMAN FILTERING; MAPPING; ROBOTS; SENSORS; SONAR;

EID: 14044260670     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (33)
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    • Kröse, B.1    Vlassis, N.2    Bunschoten, R.3
  • 11
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    • A probabilistic approach to concurrent mapping and localization for mobile robots
    • S. Thrun, W. Burgard, and D. Fox, "A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots," Machine Learning, vol. 31, pp. 29-53, 1998.
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    • Thrun, S.1    Burgard, W.2    Fox, D.3
  • 15
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    • June
    • M. Pitt and N. Shephard, "Filtering Via Simulation: Auxiliary Particle Filters," J. Amer. Statist. Assoc., vol. 94, no. 446, pp. 590-599, June 1999.
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    • Pitt, M.1    Shephard, N.2
  • 19
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    • Modeling a dynamic environment using a multiple hypothesis approach
    • I. Cox and J. Leonard, "Modeling a Dynamic Environment Using a Multiple Hypothesis Approach," Artificial Intelligence, vol. 66, no. 2, pp. 311-344, 1994.
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    • Cox, I.1    Leonard, J.2
  • 21
    • 0035485733 scopus 로고    scopus 로고
    • Active global localization for a mobile robot using multiple hypothesis tracking
    • P. Jensfelt and S. Kristensen, "Active Global Localization for a Mobile Robot Using Multiple Hypothesis Tracking," IEEE Transactions on Robotics and Automation, vol. 17, no. 5, pp. 748-760, 2001.
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  • 23
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    • Nondivergent simultaneous map building and localization using covariance intersection
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  • 25
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  • 33


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.