Nonlinear Observer Design for Landmark-Inertial Simultaneous Localization and Mapping

Fuente: arXiv
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Main Authors: Boughellaba, Mouaad, Berkane, Soulaimane, Tayebi, Abdelhamid
Format: Preprint
Published: 2025
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author Boughellaba, Mouaad
Berkane, Soulaimane
Tayebi, Abdelhamid
author_facet Boughellaba, Mouaad
Berkane, Soulaimane
Tayebi, Abdelhamid
contents This paper addresses the problem of Simultaneous Localization and Mapping (SLAM) for rigid body systems in three-dimensional space. We introduce a new matrix Lie group SE_{3+n}(3), whose elements are composed of the pose, gravity, linear velocity and landmark positions, and propose an almost globally asymptotically stable nonlinear geometric observer that integrates Inertial Measurement Unit (IMU) data with landmark measurements. The proposed observer estimates the pose and map up to a constant position and a constant rotation about the gravity direction. Numerical simulations are provided to validate the performance and effectiveness of the proposed observer, demonstrating its potential for robust SLAM applications.
format Preprint
id arxiv_https___arxiv_org_abs_2504_04239
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Nonlinear Observer Design for Landmark-Inertial Simultaneous Localization and Mapping
Boughellaba, Mouaad
Berkane, Soulaimane
Tayebi, Abdelhamid
Systems and Control
Robotics
This paper addresses the problem of Simultaneous Localization and Mapping (SLAM) for rigid body systems in three-dimensional space. We introduce a new matrix Lie group SE_{3+n}(3), whose elements are composed of the pose, gravity, linear velocity and landmark positions, and propose an almost globally asymptotically stable nonlinear geometric observer that integrates Inertial Measurement Unit (IMU) data with landmark measurements. The proposed observer estimates the pose and map up to a constant position and a constant rotation about the gravity direction. Numerical simulations are provided to validate the performance and effectiveness of the proposed observer, demonstrating its potential for robust SLAM applications.
title Nonlinear Observer Design for Landmark-Inertial Simultaneous Localization and Mapping
topic Systems and Control
Robotics
url https://arxiv.org/abs/2504.04239