activity
20162020
most citedDenoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation

152 citations · 309 across the 7 of their papers we have counts for

collaborators

10 papers

cs.RO2020★ 81 cited

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.SP2020★ 2 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★ 152 cited

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★ 69 cited

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.RO2019★ 1 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…

cs.RO2019

Exploiting Symmetries to Design EKFs with Consistency Properties for Navigation and SLAM

Martin Brossard, Axel Barrau, Silvère Bonnabel

The Extended Kalman Filter (EKF) is both the historical algorithm for multi-sensor fusion and still state of the art in numerous industrial applications. However, it may prove inco…

cs.RO2019

RINS-W: Robust Inertial Navigation System on Wheels

Martin Brossard, Axel Barrau, Silvere Bonnabel

This paper proposes a real-time approach for long-term inertial navigation based only on an Inertial Measurement Unit (IMU) for self-localizing wheeled robots. The approach builds…

astro-ph.IM2016★ 4 cited

Parallel Calibration for Sensor Array Radio Interferometers

Martin Brossard, Mohammed Nabil El Korso, Marius Pesavento +3

In order to meet the theoretically achievable imaging performance, calibration of modern radio interferometers is a mandatory challenge, especially at low frequencies. In this pers…

astro-ph.IM2016

Calibration of Radio Interferometers Using a Sparse DoA Estimation Framework

Martin Brossard, Mohamed Nabil El Korso, Marius Pesavento +2

The calibration of modern radio interferometers is a significant challenge, specifically at low frequencies. In this perspective, we propose a novel iterative calibration algorithm…