Attitude, Linear Velocity and Depth Estimation of a Camera observing a planar target using continuous homography and inertial data

Abstract : This paper revisits the problem of estimating the attitude, linear velocity and depth of an IMU-Camera with respect to a planar target. The considered solution relies on the measurement of the optical flow (extracted from the continuous homography) complemented with gyrometer and accelerometer measurements. The proposed deterministic observer is accompanied with an observability analysis that points out camera's motion excitation conditions whose satisfaction grants stability of the observer and convergence of the estimation errors to zero. The performance of the observer is illustrated by performing experiments on a test-bed IMU-Camera system.
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Minh-Duc Hua, Ninad Manerikar, Tarek Hamel, Claude Samson. Attitude, Linear Velocity and Depth Estimation of a Camera observing a planar target using continuous homography and inertial data. IEEE International Conference on Robotics and Automation (ICRA), May 2018, Brisbane, Australia. ⟨hal-01878711⟩

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