activity
20202026
most citedEquivariant Filter (EqF)

43 citations · 63 across the 21 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.RO2024★ 5 cited

Equivariant IMU Preintegration with Biases: a Galilean Group Approach

Giulio Delama, Alessandro Fornasier, Robert Mahony +1

This letter proposes a new approach for Inertial Measurement Unit (IMU) preintegration, a fundamental building block that can be leveraged in different optimization-based Inertial…

eess.SY2024

Global Minimum Energy State Estimation for Embedded Nonlinear Systems with Symmetry

Pieter van Goor, Robert Mahony

Choosing a nonlinear state estimator for an application often involves a trade-off between local optimality (such as provided by an extended Kalman filter) and (almost-/semi-) glob…

eess.SY2024

Geometric Data Fusion for Collaborative Attitude Estimation

Yixiao Ge, Behzad Zamani, Pieter van Goor +2

In this paper, we consider the collaborative attitude estimation problem for a multi-agent system. The agents are equipped with sensors that provide directional measurements and re…

eess.SY2024★ 5 cited

A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups

Yixiao Ge, Pieter van Goor, Robert Mahony

Stochastic inference on Lie groups plays a key role in state estimation problems such as; inertial navigation, visual inertial odometry, pose estimation in virtual reality, etc. A…

eess.SY2024

Exploiting polar symmetry in designing equivariant observers for vision-based motion estimation

Tarek Bouazza, Robert Mahony, Tarek Hamel

Accurately estimating camera motion from image sequences poses a significant challenge in computer vision and robotics. Many computer vision methods first compute the essential mat…

eess.SY2024

Exploiting Equivariance in the Design of Tracking Controllers for Euler-Poincare Systems on Matrix Lie Groups

Matthew Hampsey, Pieter van Goor, Ravi Banavar +1

The trajectory tracking problem is a fundamental control task in the study of mechanical systems. A key construction in tracking control is the error or difference between an actua…