25 citations · 55 across the 18 of their papers we have counts for
7 papers · 1 filter
Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks
Tong Duy Son, Marc Brughmans, Andrey Hense +4
Mode shape recognition is a fundamental task in automotive NVH development, yet it remains dependent on manual visual inspection by experienced engineers. Existing approaches based…
Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction
Tong Duy Son, Kohta Sugiura, Marc Brughmans +7
Automotive engineering development increasingly relies on heterogeneous 3D data, including finite element (FE) models, body-in-white (BiW) representations, CAD geometry, and CFD me…
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights
Jean Pierre Allamaa, Panagiotis Patrinos, Tong Duy Son
Amidst the surge in the use of Artificial Intelligence (AI) for control purposes, classical and model-based control methods maintain their popularity due to their transparency and…
Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation
Jean Pierre Allamaa, Panagiotis Patrinos, Toshiyuki Ohtsuka +1
The autonomous driving industry is continuously dealing with safety-critical scenarios, and nonlinear model predictive control (NMPC) is a powerful control strategy for handling su…
Sim2real for Autonomous Vehicle Control using Executable Digital Twin
Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer +1
In this work, we propose a sim2real method to transfer and adapt a nonlinear model predictive controller (NMPC) from simulation to the real target system based on executable digita…
Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving
Flavia Sofia Acerbo, Mohsen Alirezaei, Herman Van der Auweraer +1
This paper presents a safe imitation learning approach for autonomous vehicle driving, with attention on real-life human driving data and experimental validation. In order to incre…
Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving
Jean Pierre Allamaa, Petr Listov, Herman Van der Auweraer +2
In this paper, we present the development and deployment of an embedded optimal control strategy for autonomous driving applications on a Ford Focus road vehicle. Non-linear model…