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Volumn 36, Issue 9, 2010, Pages 1279-1286

Double-resampling based Monte Carlo localization for mobile robot

Author keywords

Adaptive particle filter; Double resampling; Mobile robot; Monte Carlo localization (MCL)

Indexed keywords

ADAPTIVE PARTICLE FILTERS; MERGING TECHNIQUES; MONTE CARLO LOCALIZATION; PREDICTION CAPABILITY; RE-SAMPLING APPROACH; RESAMPLING; RESAMPLING METHOD; SAMPLE SIZES;

EID: 78049304702     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2010.01279     Document Type: Article
Times cited : (19)

References (16)
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  • 11
    • 53849127873 scopus 로고    scopus 로고
    • Dynamic proposal variance and optimal particle allocation in particle filtering for video tracking
    • Pan P, Schonfeld D. Dynamic proposal variance and optimal particle allocation in particle filtering for video tracking. IEEE Transaction on Circuits and Systems for Video Technology, 2008, 18(9): 1268-1279
    • (2008) IEEE Transaction on Circuits and Systems for Video Technology , vol.18 , Issue.9 , pp. 1268-1279
    • Pan, P.1    Schonfeld, D.2
  • 12
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    • Monte Carlo self-localization based on characteristic particles
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  • 13
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    • Einsele, T.1
  • 14
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    • Robust vision-based robot localization using combinations of local feature region detectors
    • Ramisa A, Tapus A, Aldavert D, Toledo R, de Mantaras R L. Robust vision-based robot localization using combinations of local feature region detectors. Autonomous Robots, 2009, 27(4): 373-385
    • (2009) Autonomous Robots , vol.27 , Issue.4 , pp. 373-385
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  • 15
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    • Resampling algorithms for particle filters: a computational complexity perspective
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.