3 papers
eess.SY2026
Validation methodology on real data of reversible Kalman Filter for state estimation with Manifold
Svyatoslav Covanov, Cedric Pradalier
This work extends a previous study that introduced an algorithm for state estimation on manifolds within the framework of the Kalman filter. Its objective is to address the limitat…
eess.SY2025
Reversible Kalman Filter for state estimation with Manifold
Svyatoslav Covanov, Cedric Pradalier
This work introduces an algorithm for state estimation on manifolds within the framework of the Kalman filter. Its primary objective is to provide a methodology enabling the evalua…
cs.RO2025
Towards Efficient Occupancy Mapping via Gaussian Process Latent Field Shaping
Cedric Le Gentil, Cedric Pradalier, Timothy D. Barfoot
Occupancy mapping has been a key enabler of mobile robotics. Originally based on a discrete grid representation, occupancy mapping has evolved towards continuous representations th…