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Volumn , Issue , 2010, Pages 319-326

Indoor 3D position estimation using low-cost inertial sensors and marker-based video-tracking

Author keywords

Extended Kalman filter; Indoor positioning; Inertial MEMS; Video aided

Indexed keywords

3-D POSITION ESTIMATION; 3D POSITIONS; DRIFT COMPENSATION; DRIFT PROBLEM; FILTER APPROACH; HAND TRACKING; INDOOR POSITIONING; INERTIAL MEASUREMENT UNIT; INERTIAL MEMS; INERTIAL SENSOR; INTEGRATED NAVIGATION SYSTEMS; POSITION CORRECTION; POSITION TRACKING; SHORT PERIODS; SIMULATED DATA; VIDEO TRACKING SYSTEM; VISION BASED; WHOLE SYSTEMS;

EID: 77955040264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PLANS.2010.5507248     Document Type: Conference Paper
Times cited : (26)

References (20)
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  • 2
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    • Rehbinder, H.1    Hu, X.2
  • 7
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    • Fusion of vision and gyro tracking for robust augmented reality registration
    • march
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    • You, S.1    Neumann, U.2
  • 13
    • 34047162009 scopus 로고    scopus 로고
    • Integration of vision and inertial sensors for industrial tools tracking
    • N. Parnian and M. Golnaraghi, "Integration of vision and inertial sensors for industrial tools tracking," Sensor Review, vol. 27, pp. 132-141(10), 2007.
    • (2007) Sensor Review , vol.27 , Issue.10 , pp. 132-141
    • Parnian, N.1    Golnaraghi, M.2
  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.