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Communication dans un congrès

Heterogeneous vibration data preprocessing method for fault detection

Donatien Claeyssens, Dorsaf Zekri, Thierry Delot, Ait El Cadi Abdessamad

<div><p>The early detection of bearing faults is an important subject for maintenance and many research works have been conducted on laboratory-based homogeneous datasets. Industrial data sets are still uncommon, and so far, only one have been made publicly available so work on such...

6th International Conference on Industry 4.0 and Smart Manufacturing, Nov 2024, Prague, Czech Republic. pp.2127 - 2136, ⟨10.1016/j.procs.2025.01.273⟩. ⟨hal-05351184⟩

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⟩

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⟩