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cs.RO2026

Attitude Estimation Using Inertial and Barometric Measurements

Melone Nyoba Tchonkeu, Soulaimane Berkane, Tarek Hamel

The paper proposes a barometer‑aided attitude estimation scheme that fuses IMU data with barometric altitude measurements to improve tilt estimation for autonomous vehicles in GNSS…

cs.RO2026

Tutorial on Aided Inertial Navigation Systems: A Modern Treatment Using Lie-Group Theoretical Methods

Soulaimane Berkane

This tutorial presents a control-oriented introduction to aided inertial navigation systems using a Lie-group formulation centered on the extended Special Euclidean group SE_2(3).…

cs.RO2025

Cascaded Tightly-Coupled Observer Design for Single-Range-Aided Inertial Navigation

Oussama Sifour, Soulaimane Berkane, Abdelhamid Tayebi

This work introduces a single-range-aided navigation observer that reconstructs the full state of a rigid body using only an Inertial Measurement Unit (IMU), a body-frame vector me…

cs.RO2025

Hybrid Feedback Control for Global Navigation with Locally Optimal Obstacle Avoidance in n-Dimensional Spaces

Ishak Cheniouni, Soulaimane Berkane, Abdelhamid Tayebi

We present a hybrid feedback control framework for autonomous robot navigation in n-dimensional Euclidean spaces cluttered with spherical obstacles. The proposed approach ensures s…

cs.RO2025

Barometer-Aided Attitude Estimation

Méloné Nyoba Tchonkeu, Soulaimane Berkane, Tarek Hamel

Accurate and robust attitude estimation is a central challenge for autonomous vehicles operating in GNSS-denied or highly dynamic environments. In such cases, Inertial Measurement…

cs.RO2025

Observer Design for Optical Flow-Based Visual-Inertial Odometry with Almost-Global Convergence

Tarek Bouazza, Soulaimane Berkane, Minh-Duc Hua +1

This paper presents a novel cascaded observer architecture that combines optical flow and IMU measurements to perform continuous monocular visual-inertial odometry (VIO). The propo…