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Wednesday, November 15 • 16:00 - 16:20
Attitude and position estimation using inertial measurements with camera motion capture based aiding

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A method is presented to estimate the attitude, position, and velocities of a body instrumented with an inertial measurement unit (IMU) within a camera-based motion capture field. The method uses an extended Kalman filter (EKF) to fuse the integrated angular rate information with the absolute measurements from the motion capture system to estimate sensor bias and improve the overall motion estimate. The advantages of this method versus either method individually are improved accuracy during visual marker dropout, smoother motion estimates, and real-time estimates of velocity.

Wednesday November 15, 2017 16:00 - 16:20
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

Attendees (1)