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Conference papers
Linear Camera Velocities and Point Feature Depth Estimation Using Unknown Input Observer
Abstract : In this paper, we propose a new approach to estimate the missing 3D information of a point feature during the camera motion and reconstruct the linear velocity of the camera. This approach is intended to solve the problem of relative localization and compute the distance between two Unmanned Aerial Vehicles (UAV) within a formation. An Unknown Input Observer is designed for the considered system described by a quasi-linear parameter varying (qLPV) model with unmeasurable variables to achieve kinematic from motion estimation. An observability analysis is performed to ensure the possibility of reconstructing the state variables. Sufficient conditions to design the observer are derived in terms of Linear Matrix Inequalities (LMIs) based on Lyapunov theory. Simulation results are discussed to validate the proposed approach.
Cited literature [19 references]
https://hal.archives-ouvertes.fr/hal-02417634
Contributor : Frédéric Davesne <>
Submitted on : Wednesday, December 18, 2019 - 12:16:46 PM
Last modification on : Monday, July 6, 2020 - 5:43:07 PM
Long-term archiving on: : Thursday, March 19, 2020 - 8:19:28 PM
Contributor : Frédéric Davesne <>
Submitted on : Wednesday, December 18, 2019 - 12:16:46 PM
Last modification on : Monday, July 6, 2020 - 5:43:07 PM
Long-term archiving on: : Thursday, March 19, 2020 - 8:19:28 PM
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