Learning-based Observer Evaluated on the Kinematic Bicycle Model. - Agapius Bou Ghosn; Philip Polack; Arnaud de La Fortelle (ICSC, 2022)

Robust LSTM-based Vehicle Velocity Observer for Regular and Near-limits Applications. - Agapius Bou Ghosn; Marcus Nolte; Philip Polack; Arnaud de La Fortelle; Markus Maurer (IV, 2023)

A Robust Hybrid Observer for Side-slip Angle Estimation. - Agapius Bou Ghosn; Marcus Nolte; Philip Polack; Arnaud de La Fortelle (CoRR, 2023)

Learned and Hybrid Strategies for Control and Planning of Highly Automated Vehicles. (Stratégies Apprises et Hybrides pour le Contrôle et la Planification des Véhicules Autonomes). - Agapius Bou Ghosn (2023)

The Hybrid Extended Bicycle: A Simple Model for High Dynamic Vehicle Trajectory Planning. - Agapius Bou Ghosn; Philip Polack; Arnaud de La Fortelle (ITSC, 2024)

Model Validity in Observers: When to Increase the Complexity of Your Model? - Agapius Bou Ghosn; Philip Polack; Arnaud de La Fortelle (IEEE Trans. Control. Syst. Technol., 2025)