Jitter compensation using fuzzy rules and Kalman filter for mobile robots vision

Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

Volumn , Issue , 2011, Pages 4134-4138

  Wang, B R ^a   Xu, Y ^a   Jin, Y L ^a  

^a CHINA JILIANG UNIVERSITY   (China)

Author keywords

Feature Matching; Fuzzy Rules; Kalman Filter; Vision Compensation

Indexed keywords

AFFINE TRANSFORMATIONS; AUTONOMOUS ROBOT; BILINEAR INTERPOLATION; DIAMOND SEARCH; DOCKING OPERATIONS; FEATURE EXTRACT; FEATURE MATCHING; FEATURE POINT; JITTER COMPENSATION; KINEMATICS EQUATION; LEAST SQUARES ALGORITHM; MOTION PARAMETERS; OBSERVATION MODEL; POTENTIAL FEATURES; REAL TIME; RECURRENCE RELATIONS; SUB-REGIONS; SUM OF ABSOLUTE DIFFERENCES; TEMPLATE SIZES;

ALGORITHMS; COMPUTER VISION; FUZZY RULES; IMAGE MATCHING; JITTER; KALMAN FILTERS; KINEMATICS; MOBILE ROBOTS; MOTION ESTIMATION; PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS;

FUZZY FILTERS;

EID: 80052227811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2011.5968950     Document Type: Conference Paper

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