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Volumn , Issue , 2011, Pages 73-78

Corrective gradient refinement for mobile robot localization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL REQUIREMENTS; DEPTH CAMERA; LOCALIZATION ALGORITHM; MOBILE ROBOT LOCALIZATION; MONTE CARLO LOCALIZATION; OBSERVATION MODEL; PARTICLE FILTER; POINT CLOUD; RESAMPLING; STATE SPACE; VECTOR MAPS;

EID: 84455200637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2011.6048263     Document Type: Conference Paper
Times cited : (40)

References (15)
  • 6
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • W.K. Hastings. Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57(1):97, 1970.
    • (1970) Biometrika , vol.57 , Issue.1 , pp. 97
    • Hastings, W.K.1
  • 10
    • 84880834761 scopus 로고    scopus 로고
    • FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges
    • Citeseer
    • M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges. In International Joint Conference on Artificial Intelligence, volume 18. Citeseer, 2003.
    • (2003) International Joint Conference on Artificial Intelligence , vol.18
    • Montemerlo, M.1    Thrun, S.2    Koller, D.3    Wegbreit, B.4
  • 11
    • 33947422034 scopus 로고    scopus 로고
    • Improved techniques for grid mapping with Rao-Blackwellized particle filters
    • DOI 10.1109/TRO.2006.889486
    • G. Grisetti, C. Stachniss, and W. Burgard. Improved techniques for grid mapping with rao-blackwellized particle filters. Robotics, IEEE Transactions on, 23(1):34-46, 2007. (Pubitemid 46443340)
    • (2007) IEEE Transactions on Robotics , vol.23 , Issue.1 , pp. 34-46
    • Grisetti, G.1    Stachniss, C.2    Burgard, W.3
  • 15
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • M.A. Fischler and R.C. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6), 1981.
    • (1981) Communications of the ACM , vol.24 , Issue.6
    • Fischler, M.A.1    Bolles, R.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.