We consider the problem of computing a Gaussian approximation to the
pos...
Along with Markov chain Monte Carlo (MCMC) methods, variational inferenc...
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...
To fuse information from inertial measurement units (IMU) with other sen...
This paper proposes a learning method for denois-ing gyroscopes of Inert...
The present paper introduces a novel methodology for Unscented Kalman
Fi...
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...
This article considers stability properties of a broad class of commonly...
In this paper we propose a (non-linear) smoothing algorithm for group-af...
This paper considers the problem of estimating the covariance of
roto-tr...
Statistical analysis of Diffusion Tensor Imaging (DTI) data requires a
c...
Stochastic gradient descent is a simple approach to find the local minim...