Publicaciones

• Chapitre d'ouvrage

Towards a Dynamic Balance between Humans and AI-based Systems

F. Flemisch, M. Baltzer, D. Abbink, L. Siebert, J. van Diggelen, N. Herzberger, M. Draper, M. Boardman, M.-P. Pacaux-Lemoine, J. Wasser

Multidisciplinary Research Handbook on Meaningful Human Control over Artificial Intelligence Systems, In press. ⟨hal-04244933⟩

• Communication dans un congrès

De la Simulation Numérique au Cas d'Etude - Un Exemple de Partage d'Autonomie entre Humains et Robots

Corentin Ascone, Frédéric Vanderhaegen

Ce poster propose une cadre méthodologique pour concevoir et étudier un cas d'étude impliquant des flux de robots mobiles qui transmettent leurs intentions d'action aux utilisateurs. Ce cadre est basé sur une analyse de terrain et sur les niveaux de partage d'autonomie entre humains...

ERGO'IA 2023, Oct 2023, Bidart, France. ⟨hal-04405071⟩

• Communication dans un congrès

Holistic Digital Twin Framework: Designing Human-Machine Systems with an Overall Situation Awareness

Corentin Ascone, Frédéric Vanderhaegen

Context Awareness refers to the use of context to provide task-relevant information and/or services to a user. The Holistic Framework for Human-Machine System (HMS) is an architecture based on multiple factors, including a surroundings consideration, to design Digital Twins (DTs). This paper...

22nd IFAC World Congress, IFAC, Jul 2023, Yokohama, Japan. pp.7065-7070, ⟨10.1016/j.ifacol.2023.10.567⟩. ⟨hal-04315307⟩

• Autre publication scientifique

Contre l’arthrose de la hanche, l’activité physique adaptée est votre alliée, Against hip osteoarthritis, adapted physical activity is your ally

Laura Wallard, Eugénie Avril, Mathias Blandeau, Nawel Ouendi, Philippe Henry, Philippe Pudlo

L'arthrose est la maladie articulaire la plus répandue, touchant environ 240 millions de personnes dans le monde, dont plus de 10 millions en France. Il s'agit de ce fait d'un problème majeur de santé publique. Selon l'Institut national de la santé et de la recherche médicale (..., Osteoarthritis is the most common joint disease, affecting approximately 240 million people worldwide, including more than 10 million in France. It is therefore a major public health problem. According to the National Institute of Health and Medical Research (Inserm), 10% of people with...

2023. ⟨hal-04824274v3⟩

• Ouvrages

Experimental investigation of performance and exhaust emissions of pyrolytic olive pomaces biofuels blends without and with additives fueled internal combustion engine

Mansoura Salhi, Emna Berrich, Mehrez Romdhane, Fethi Aloui

This study deals with the production of pyrolytic oil from olive pomace and its use in the form of a blend with pure diesel to examine the performance and emission characteristics in internal combustion (IC) engine. Thermal and catalytic pyrolysis of olive pomace was carried out in a fixed...

Elsevier, pp.785-800, 2023, ⟨10.1016/B978-0-443-19017-9.00031-3⟩. ⟨hal-04814863⟩

• Article dans une revue

Simple UV-Grafting of PolyAcrylic and PolyMethacrylic Acid on Silicone Breast Implant Surfaces: Chemical and Mechanical Characterizations

Anna Wozniak, Vincent Humblot, Romain Vayron, Rémi Delille, Celine Falentin-Daudre

Poly(dimethyl siloxane) (PDMS) is one of the most widely used materials in the biomedical field. Despite its numerous advantages, its hydrophobic character promotes bacterial adhesion and biofilm formation. For breast implants, biocompatibility is challenged due to the biofilm formed around the...

Coatings, 2023, 13 (11), pp.1888. ⟨hal-04808861⟩

• Article dans une revue

LPV Unknown Input Observer-Based Estimation of Driver Intervention Torque and Vehicle Dynamics for Human-Machine Shared Driving

Anh-Tu Nguyen, Thierry-Marie Guerra, Jiyun Lu, Juntao Pan, Hamid Taghavifar

IFAC-PapersOnLine, 2023, 56 (2), pp.5679-5684. ⟨10.1016/j.ifacol.2023.10.498⟩. ⟨hal-05481576⟩

• Article dans une revue

Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach

Haohan Yang, Haochen Liu, Zhongxu Hu, Tran Anh-Tu Nguyen, Thierry-Marie Guerra, Chen Lv

Accurate recognition of driver distraction is significant for the design of human-machine cooperation driving systems. Existing studies mainly focus on classifying varied distracted driving behaviors, which depend heavily on the scale and quality of datasets and only detect the discrete distraction...

IEEE Transactions on Intelligent Transportation Systems, 2023, pp.1-12. ⟨10.1109/TITS.2023.3316203⟩. ⟨hal-04278793⟩

• Article dans une revue

Evaluation method based on a tracing mechanism for adaptive user interfaces: application in intelligent transport systems

Makram Soui, Soumaya Moussa, Christophe Kolski, Mourad Abed

Nowadays, Adaptive User Interfaces (AUI) are more and more present everywhere in our daily life activities (at home, at work, in public places, etc.). Moreover, they can have different adaptation capabilities, can be disseminated in the environment of the users, and take into account different user...

International Journal of Advanced Intelligence Paradigms, 2023, 24 (3-4), pp.295-331. ⟨10.1504/IJAIP.2023.129180⟩. ⟨hal-03275064⟩

• Article dans une revue

Neural-Network-Based Fuzzy Observer with Data-Driven Uncertainty Identification for Vehicle Dynamics Estimation under Extreme Driving Conditions: Theory and Experimental Results

Cuong Nguyen, Anh-Tu Nguyen, Sébastien Delprat

We present a neural network based Takagi-Sugeno (TS) fuzzy observer to estimate the lateral speed (or sideslip angle) of nonlinear vehicle dynamics subject to modeling uncertainties and unknown inputs. To this end, we first propose a TS fuzzy reduced-order observer design, which can be implemented...

IEEE Transactions on Vehicular Technology, In press, 72 (7), pp.1-11. ⟨10.1109/TVT.2023.3249832⟩. ⟨hal-04017564⟩