Abstract
A smoother is proposed for an attitude estimation problem, where attitude is estimated using inertial and magnetic sensors. A smoother can provide better results when an off-line processing is allowed. A quaternion is used to represent attitude. An indirect Kalman filter is used as a forward and backward filter. In the smoother, the final attitude quaternion is computed using the averaging algorithm of quaternions, which can be computed from a simple optimization problem.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
