In this paper, we propose a differentiable version of the short-time Fou...
This paper presents a gradient-based method for on-the-fly optimization ...
In this paper, we revisit the use of spectrograms in neural networks, by...
In this paper we address smoothing-that is, optimisation-based-estimatio...
While many works exploiting an existing Lie group structure have been
pr...
We consider the problem of localizing a manned, semi-autonomous, or
auto...
The recently introduced matrix group SE2(3) provides a 5x5 matrix
repres...
This paper proposes a learning method for denois-ing gyroscopes of Inert...
The present paper introduces a novel methodology for Unscented Kalman
Fi...
The mean shift algorithm is a popular way to find modes of some probabil...
In mobile robotics, scan matching of point clouds using Iterative Closes...
In this paper we propose a novel accurate method for dead-reckoning of
w...
The Extended Kalman Filter (EKF) is both the historical algorithm for
mu...
This paper proposes a real-time approach for long-term inertial navigati...
In this paper we propose a (non-linear) smoothing algorithm for group-af...