activity
20162020
most citedMulti-frequency calibration for DOA estimation with distributed sensors

2 citations · 3 across the 3 of their papers we have counts for

collaborators

9 papers

cs.RO2020

Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth

Martin Brossard, Axel Barrau, Paul Chauchat +1

The recently introduced matrix group SE2(3) provides a 5x5 matrix representation for the orientation, velocity and position of an object in the 3-D space, a triplet we call "extend…

cs.RO2020

A Code for Unscented Kalman Filtering on Manifolds (UKF-M)

Martin Brossard, Axel Barrau, Silvere Bonnabel

The present paper introduces a novel methodology for Unscented Kalman Filtering (UKF) on manifolds that extends previous work by the authors on UKF on Lie groups. Beyond filtering…

eess.SP20202 cited

Multi-frequency calibration for DOA estimation with distributed sensors

Martin Brossard, Virginie Ollier, Mohammed Nabil El Korso +2

In this work, we investigate direction finding in the presence of sensor gain uncertainties and directional perturbations for sensor array processing in a multi-frequency scenario.…

cs.RO2020

Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation

Martin Brossard, Silvere Bonnabel, Axel Barrau

This paper proposes a learning method for denoising gyroscopes of Inertial Measurement Units (IMUs) using ground truth data, and estimating in real time the orientation (attitude)…

cs.RO2019

A New Approach to 3D ICP Covariance Estimation

Martin Brossard, Silvere Bonnabel, Axel Barrau

In mobile robotics, scan matching of point clouds using Iterative Closest Point (ICP) allows estimating sensor displacements. It may prove important to assess the associated uncert…

cs.RO20191 cited

AI-IMU Dead-Reckoning

Martin Brossard, Axel Barrau, Silvère Bonnabel

In this paper we propose a novel accurate method for dead-reckoning of wheeled vehicles based only on an Inertial Measurement Unit (IMU). In the context of intelligent vehicles, ro…