Attitude determination by integration of MEMS inertial sensors and GPS for autonomous agriculture applications

GPS Solutions

Volumn 16, Issue 1, 2012, Pages 41-52

  Li, Yong ^a   Efatmaneshnik, Mahmoud ^a   Dempster, Andrew G ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Automated guidance systems; GPS INS; Kalman Filter; Loose coupled integration

Indexed keywords

AGRICULTURE APPLICATIONS; ATTITUDE DETERMINATION; ATTITUDE SOLUTION; AUTOMATED GUIDANCE; AUTOMATED VEHICLE GUIDANCES; FARM LAND; FARMING VEHICLES; GPS/INS; GPS/INS INTEGRATION; GUIDANCE AND CONTROL SYSTEM; HIGH FREQUENCY HF; IDEAL SOLUTIONS; INERTIAL SENSOR; LOOSE-COUPLED INTEGRATION; MEMS INERTIAL SENSORS; RELIABILITY AND AVAILABILITY; SOIL HETEROGENEITY; SPECIFIC DESIGN; TEMPERATURE COMPENSATION; VEHICLE GUIDANCE;

AGRICULTURE; ANTENNAS; AUTOMATION; GLOBAL POSITIONING SYSTEM; HERBICIDES; INERTIAL NAVIGATION SYSTEMS; INTEGRATION; KALMAN FILTERS; SENSORS; VEHICLES;

QUALITY CONTROL;

AGRICULTURAL APPLICATION; ALGORITHM; ANTENNA; DESIGN; FERTILIZER APPLICATION; FREQUENCY ANALYSIS; GPS; HERBICIDE; HETEROGENEITY; INTEGRATED APPROACH; KALMAN FILTER; RELIABILITY ANALYSIS; SOIL TYPE; TEMPERATURE EFFECT; VELOCITY;

EID: 84855533762     PISSN: 10805370     EISSN: 15211886     Source Type: Journal    
DOI: 10.1007/s10291-011-0207-y     Document Type: Article

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