18 citations · 54 across the 15 of their papers we have counts for
4 papers · 1 filter
An interval-valued recursive estimation framework for linearly parameterized systems
Laurent Bako, Seydi Ndiaye, Eric Blanco
This paper proposes a recursive interval-valued estimation framework for identifying the parameters of linearly parameterized systems which may be slowly time-varying. It is assume…
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach
Steeven Janny, Quentin Possamai, Laurent Bako +2
The identification of a nonlinear dynamic model is an open topic in control theory, especially from sparse input-output measurements. A fundamental challenge of this problem is tha…
Learning to estimate UAV created turbulence from scene structure observed by onboard cameras
Quentin Possamaï, Steeven Janny, Madiha Nadri +2
Controlling UAV flights precisely requires a realistic dynamic model and accurate state estimates from onboard sensors like UAV, GPS and visual observations. Obtaining a precise dy…
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements
Quentin Possamaï, Steeven Janny, Guillaume Bono +3
The emergence of data-driven approaches for control and planning in robotics have highlighted the need for developing experimental robotic platforms for data collection. However, t…