Publicaciones

• 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⟩

• 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

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⟩

• 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⟩

• Article dans une revue

La géo-participation des usagers-habitants : réflexions sur une opportunité et une perspective pour un monitorage des territoires urbains

Abdessalam Hijab, Igor Crevits

This article examines the conditions for implementing a collaborative (geo)monitoring system aimed at supporting territorial management and enhancing urban resilience. Drawing on GeoWeb technologies and crowdsourcing practices, it proposes a conceptual framework based on a systemic analysis of..., Cet article analyse les conditions d’implémentation d’un dispositif de (géo)monitorage collaboratif destiné à soutenir la gestion du territoire et à renforcer la résilience urbaine. En mobilisant le GéoWeb et les pratiques de production participative, il propose un cadre conceptuel fondé sur une...

VertigO : La revue électronique en sciences de l'environnement, 2025, 25-3, https://journals.openedition.org/vertigo/53792. ⟨hal-05619390⟩

• Article dans une revue

Guaranteed State Estimation for H−/L∞ Fault Detection of Uncertain Takagi-Sugeno Fuzzy Systems With Unmeasured Nonlinear Consequents

Masoud Pourasghar, Anh-Tu Nguyen, Thierry-Marie Guerra

We investigate the problem of guaranteed state estimation and robust fault detection of uncertain Takagi-Sugeno (TS) fuzzy systems with unmeasured nonlinearities. The effects of both unknown-but-bounded disturbances and faults are taken into account in the state bounding observer design via...

IEEE Transactions on Fuzzy Systems, In press, ⟨10.1109/TFUZZ.2025.3532221⟩. ⟨hal-04905412⟩

• 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

Less-Conservative Robust Path Tracking Control With Intrinsic Bump-Free Feature for Autonomous Vehicles: A Sub-Polytope Integrated Approach

Liqin Zhang, Manjiang Hu, Yougang Bian, Hui Zhang, Anh-Tu Nguyen

This paper proposes a novel sub-polytope integrated approach (sPIA) that features an intrinsic bump-free transition, aiming to reduce conservatism in the design of path tracking control for autonomous vehicles with large range time-varying longitudinal velocity. The approach encapsulates the...

IEEE Transactions on Intelligent Transportation Systems, In press, ⟨10.1109/TITS.2025.3554157⟩. ⟨hal-05115408⟩

• Article dans une revue

Non-intrusive local/global coupling with local deep learning-based models for the effective simulation of spotwelded structures under impact

Afsal Pulikkathodi, Ludovic Chamoin, Elisabeth Lacazedieu, Juan Pedro Berro Ramirez, Laurent Rota, Malek Zarroug

International Journal for Numerical Methods in Engineering, 2025, 126 (14), pp.e70086. ⟨10.1002/nme.70086⟩. ⟨hal-05141404⟩

• Article dans une revue

Uncertainty-driven Active Reinforcement Learning for Energy Management Strategy in Electrified Vehicles

Dong Hu, Cheng Tian, Anh-Tu Nguyen, Chao Huang

Reinforcement learning (RL), as a data-driven optimization method, enables electrified vehicles to train optimal energy management strategy (EMS) in complex and dynamic environments. However, traditional RL methods often face inefficiency during the exploration process, particularly in...

IEEE Transactions on Transportation Electrification, In press, ⟨10.1109/TTE.2025.3614254⟩. ⟨hal-05291498⟩