Publications

• Article dans une revue

Telerehabilitation in the remote care of patients’ postorthopaedic surgery: benefits and limitations for patients

Nawel Ouendi, Eugénie Avril, Benjamin Dervaux, Philippe Pudlo, Laura Wallard

Objective: The aim of this study was to identifythe factors that might influence patients' adoption of telerehabilitation post orthopaedic surgery knee and hip. Method: Semi-structured interviews were conducted with 20 THA (n=6), TKA (n=14) patients. These interviews were guided by an…

Journal of Telemedicine and Telecare, In press. ⟨hal-05114201⟩

• Article dans une revue

Trust-Based Shared Steering Control With Game Theory Using Event-Triggered ADP for Human-Vehicle Cooperative Driving

Yingkui Shi, Sicheng Ge, Anh-Tu Nguyen, Ji Li, Chao Huang, Chuan Hu

The trust level of drivers in automated driving systems (ADS) significantly impacts human-vehicle cooperation in terms of driving authority allocation and dynamic interactions during collaborative driving. However, trust dynamics for human-vehicle shared steering control (SSC) has rarely been…

IEEE Transactions on Vehicular Technology, In press, ⟨10.1109/TVT.2025.3581082⟩. ⟨hal-05133637⟩

• Chapitre d'ouvrage

Holistic Bowtie Model of AI-Based Technology in Defense Systems

Frank Ole Flemisch, Dierk Spreen, Marie-Pierre Pacaux-Lemoine, Benjamin J Knox, Kairi Talves, John Christopher Brill

As AI creates a strong technological push on our societies and defense systems, increasing requirements to counteract hybrid warfare pull the demands for new methods to think defense in a systemic and interconnected way. The holistic bowtie model offers a method for understanding the connections…

How to Think, Explore, and Implement Efficient and Meaningful Chains of Abilities, Control, Responsibility, and Accountability Between Humans, AI, Organization, and the Environment?, 192, Springer Nature Switzerland, pp.227-250, 2025, Artificial Intelligence, Simulation and Society, 978-3-031-95577-8. ⟨10.1007/978-3-031-95578-5⟩. ⟨hal-05334416⟩

• Communication dans un congrès

Enhancing On-Street Parking Occupancy Prediction with Spatio-Temporal Graph Neural Networks Integrating Exogenous Factors

Ayman Agoube, Abdessamad Ait El Cadi, Thierry Delot, Martin Trépanier

Accurate forecasting of on-street parking occupancy is essential for improving parking management and reducing the time drivers spend searching for available spaces. This study investigates a Simplified Spatio-Temporal Graph Neural Network (SST-GNN) for predicting parking occupancy rates by…

60th Annual Conference of the Canadian Transportation Research Forum (CTRF 2025), Canadian Transportation Research Forum, May 2025, Ottawa, Canada. ⟨hal-05820433⟩

• Article dans une revue

Trajectory Tracking Using Quasi-LPV Descriptor Models for Vehicle Control

Mohamed Diouf, Rafael Silva, Thierry Marie Guerra

This work applies a descriptor model of a vehicle to design a controller able to follow given trajectories. It enters in a project of shared control between the driver and the machine. This brick is important to show that at the low level, robustness can be ensured via automatic control tools. The…

IFAC-PapersOnLine, 2025, 59 (26), pp.211-216. ⟨10.1016/j.ifacol.2025.12.036⟩. ⟨hal-05482594⟩

• Article dans une revue

Contingency-Aware Spatiotemporal Optimization for Safe Autonomous Vehicle Trajectory Planning

Zhihao Lin, Jianglin Lan, Anh-Tu Nguyen, David Flynn

Autonomous lane changing requires balancing safety, comfort, and efficiency while managing complex spatiotemporal vehicle interactions. Current methods often separate risk assessment from trajectory planning, leading to either conservative or unsafe maneuvers. This paper presents a contingency-…

IEEE Transactions on Intelligent Transportation Systems, In press, ⟨10.1109/TITS.2025.3597234⟩. ⟨hal-05291620⟩

• Article dans une revue

Adaptive Neural-Network-Based Fault Tolerant Control for Autonomous Vehicles With Dynamic Output Constraints

Zhaoyu Qiu, Xiaoyuan Zhu, Anh-Tu Nguyen, Guodong Yin

Vehicle reliability and safety are critical to the development and application of autonomous driving technologies. This paper presents an adaptive neural network (NN) fault-tolerant controller design for autonomous vehicles, where dynamic output constraints are specifically considered to keep the…

IEEE/ASME Transactions on Mechatronics, In press, ⟨10.1109/TMECH.2025.3575035⟩. ⟨hal-05115411⟩

• Communication dans un congrès

Enhancing pedestrian safety at track crossing: a motion analysis study

Ahmed Yacine Lardjane, Mathias Blandeau, Laura Wallard, Christopher Paglia, Christophe Gillet, Sébastien Leteneur, Emilie Simoneau-Buessinger

This study introduces motion analysis as a novel approach for evaluating pedestrian safety at Pedestrian Track Crossings (PTC), addressing limitations of traditional assessment techniques. Using markerless 3D motion analysis, we examined movement patterns of 26 healthy participants (mean age: 22.8±…

35th European Safety and Reliability Conference (ESREL 2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025), Jun 2025, Stavanger, Norway. pp.3243-3250. ⟨hal-05164987⟩

• Article dans une revue

2D profile-based surface repair and 3D pattern generative design via material jetting

Pushkar Kamble, Hao Chen, Hanlin Liao, Yicha Zhang

Jetting printing processes rely on 2D pixel data derived from decomposed 3D models, which are often unavailable in applications such as surface repair and 3D pattern printing. Reconstructing 3D models and decomposing them into 2D pixels is time-consuming, energy-intensive, and prone to accuracy…

CIRP Annals - Manufacturing Technology, 2025, 74 (1), pp.167-171. ⟨10.1016/j.cirp.2025.04.085⟩. ⟨hal-05660710⟩

• Article dans une revue

Fog-Blockchain Fusion For Event Evaluation And Trust Management

Youssef Sellami, Youcef Imine, Antoine Gallais

IEEE Transactions on Dependable and Secure Computing, 2025, pp.1-15. ⟨10.1109/TDSC.2025.3587589⟩. ⟨hal-05163377⟩