Simultaneous localization and mapping using invariant natural features

2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006

Volumn , Issue , 2006, Pages 1682-1687

  Zhang, Nan ^a   Li, Maohai ^b   Hong, Bingrong ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Invariant natural feature; mobile robot; Monocular vision; Particle filter; Simultaneous localization and mapping

Indexed keywords

AUTOMATION; BIOMIMETICS; CAMERAS; CELLULAR RADIO SYSTEMS; CHARGE COUPLED DEVICES; CONFORMAL MAPPING; CONTROL THEORY; DISTRIBUTED COMPUTER SYSTEMS; EXTENDED KALMAN FILTERS; MATHEMATICAL TRANSFORMATIONS; MILITARY DATA PROCESSING; ROBOTICS; STEREO VISION; THREE DIMENSIONAL; WAVE FILTERS;

DESCRIPTOR; EXTENDED KALMAN FILTER (ITERATED); IMAGE FEATURES; INTERNATIONAL CONFERENCES; K D TREES; LANDMARK (CO); MONOCULAR VISION; NATURAL FEATURES; NATURAL LANDMARKS; PARTICLE DEPLETION PROBLEM; POSITION ESTIMATION; PRACTICAL APPROACH; RAO-BLACKWELLISED PARTICLE FILTER (RBPF); RE SAMPLING; SCALE-INVARIANT FEATURE TRANSFORM (SIFT); SIFT FEATURES; SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM); SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM) PROBLEM; TIME COSTS; VISUAL LANDMARKS;

ROBOTS;

EID: 46249087285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBIO.2006.340219     Document Type: Conference Paper

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