Pose estimation using line-based dynamic vision and inertial sensors
- 19 February 2003
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 48 (2), 186-199
- https://doi.org/10.1109/tac.2002.808464
Abstract
An observer problem from a computer vision application is studied. Rigid body pose estimation using inertial sensors and a monocular camera is considered and it is shown how rotation estimation can be decoupled from position estimation. Orientation estimation is formulated as an observer problem with implicit output where the states evolve on SO(3). A careful observability study reveals interesting group theoretic structures tied to the underlying system structure. A locally convergent observer where the states evolve on SO (3) is proposed and numerical estimates of the domain of attraction is given. Further, it is shown that, given convergent orientation estimates, position estimation can be formulated as a linear implicit output problem. From an applications perspective, it is outlined how delayed low bandwidth visual observations and high bandwidth rate gyro measurements can provide high bandwidth estimates. This is consistent with real-time constraints due to the complementary characteristics of the sensors which are fused in a multirate way.Keywords
This publication has 30 references indexed in Scilit:
- Mobile robot attitude estimation by fusion of inertial dataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A solid state attitude heading reference system for general aviationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Miniature six-DOF inertial system for tracking HMDsPublished by SPIE-Intl Soc Optical Eng ,1998
- Motion estimation via dynamic visionIEEE Transactions on Automatic Control, 1996
- Inertial head-tracker sensor fusion by a complementary separate-bias Kalman filterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Visually guided ranging from observations of points, lines and curves via an identifier based nonlinear observerSystems & Control Letters, 1995
- Motion and structure from feature correspondences: a reviewProceedings of the IEEE, 1994
- A linear algorithm for point and line-based structure from motionCVGIP: Image Understanding, 1992
- Structure from motion using line correspondencesInternational Journal of Computer Vision, 1990
- The application of total energy as a Lyapunov function for mechanical control systemsPublished by American Mathematical Society (AMS) ,1989