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Volumn , Issue , 2012, Pages 1274-1279

Low cost IMU based indoor mobile robot navigation with the assist of odometry and Wi-Fi using dynamic constraints

Author keywords

mobile robot navigation; Particle Filter; state constrains; Unscented Kalman Filter; Wi Fi localization

Indexed keywords

DYNAMIC CONSTRAINTS; FIELD EXPERIMENT; INDOOR MOBILE ROBOTS; INERTIAL MEASUREMENT UNIT; LOW COSTS; MOBILE ROBOT NAVIGATION; ODOMETRY; PARTICLE FILTER; PROBLEM-BASED; RECURSIVE ESTIMATION; ROBOT DYNAMICS; ROBOT POSITIONS; SENSOR INFORMATIONS; STATE CONSTRAINS; UNSCENTED KALMAN FILTER; WHEEL MOUNTED;

EID: 84866234455     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PLANS.2012.6236984     Document Type: Conference Paper
Times cited : (7)

References (19)
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  • 11
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    • Kalman filtering with state constraints: A survey of linear and nonlinear algorithms
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    • (2009) IET Control Theory and Applications
    • Simon, D.1
  • 13
    • 73649124170 scopus 로고    scopus 로고
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    • Xinguang Shao, Biao Huang and Jong Min Lee, "Constrained Bayesian state estimation - A comparative study and a new particle filter based approach," Journal of Process Control 20, 2010, pp. 143-157
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  • 14
    • 78751590934 scopus 로고    scopus 로고
    • On the choice of importance distributions for onconstrained and constrained state estimation using particle filter
    • J.Prakash, Sachin C. Patwardhan and Sirish L. Shah, "On the choice of importance distributions for onconstrained and constrained state estimation using particle filter," Journal of Process Control 21, 2011, pp. 3-16
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    • Itzik Klein, Sagi Filin and Tomer Toledo, "Vehicle Constraints Enhancement for Supporting INS Navigation in Urban Environments," Journal of the Institute of Navigation, 2011
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  • 19
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    • Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation
    • Vachani P., Narasimhan S., and Rengaswamy R, "Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation," J. Process control, 16, (10), pp. 1075-1086, 2006
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.