Laboratoire de Génie Informatique et d’Automatique de l’Artois

David MERCIER

Associate professor, HDR
Member of the research axes:
Contact information:
An Evidential Pixel-Based Face Blurring Approach
4th International Conference on Belief Functions, BELIEF 2016, pp 222-230, LNAI 9861 (co-best student paper award), Prague, Czech Republic, J. Vejnarová and V. Kratochvil (Eds.), Springer, septembre 2016
The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach
4th International Conference on Belief Functions, BELIEF 2016, pp 212-221, LNAI 9861, Prague, Czech Republic, J. Vejnarová and V. Kratochvil (Eds.), Springer, septembre 2016
2016
International conference with review committee
A fusion method for blurring faces on platforms using belief functions
11th World Congress on Railway Research, Milan, Italie, juin 2016
Methods using belief functions to manage imperfect information concerning events on the road in VANETs
Transportation Research Part C: Emerging Technologies, pp 299–320, Vol. 67, juin 2016
Proposition and learning of some belief function contextual correction mechanisms
International Journal of Approximate Reasoning, pp 4-42, Vol. 72, mai 2016
David MERCIER -- Frédéric PICHON -- Eric LEFEVRE
Corrigendum to "Belief Functions Contextual Discounting and Canonical Decompositions" [International Journal of Approximate Reasoning 53 (2012) 146-158]
International Journal of Approximate Reasoning, pp 137 - 139, Vol. 70, mars 2016
2015
Scientific book
Belief function based multisensor multitarget classification solution
Multisensor data fusion, From algorithms and architectural design to applications, pp 331-348, H. Fourati (Ed.), CRC Press, août 2015
2015
International conference with review committee
Learning contextual discounting and contextual reinforcement from labelled data
13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, pp 472-481, Compiègne, France , S. Destercke and T. Denoeux (Eds), juillet 2015
Object tracking and credal classification with kinematic data in a multi-target context
Information Fusion, pp 174-188, Vol. 20, , novembre 2014
2014
French conference with review committee
Estimation de sincérité et pertinence à partir de matrices de confusion pour la correction de fonctions de croyance
Rencontres Francophones sur la Logique Floue et ses Applications, pp 115–122, Cargèse, France, Cépaduès, octobre 2014
A new parameterless credal method to track-to-track assignment problem
3rd International Conference on Belief Functions, BELIEF 2014, pp 403-411, Oxford, United Kingdom, F. Cuzzolin (Ed.), septembre 2014
Methods handling accident and traffic jam information with belief functions in VANETs
3rd International Conference on Belief Functions, BELIEF 2014, pp 124-133, Oxford, United Kingdom, F. Cuzzolin (Ed.), septembre 2014
Truthfulness in contextual information correction
3rd International Conference on Belief Functions, BELIEF 2014, pp 11-20, Oxford, United Kingdom, F. Cuzzolin (Ed.), septembre 2014
A distributed solution for multi-object tracking and classification
17th International Conference on Information Fusion, FUSION 2014, Salamanca, Spain, , paper 323, juillet 2014
2014
International conference with review committee
A first inquiry into Simpson’s paradox with belief functions
15th Information Processing and Management of Uncertainty in Knowledge-Based Systems International Conference, IPMU 2014, pp 190-199, Montpellier, France, juillet 2014
2014
International conference with review committee
Comparison of credal assignment algorithms in kinematic data tracking context
15th Information Processing and Management of Uncertainty in Knowledge-Based Systems International Conference, IPMU 2014, pp 200-211, Montpellier, France, juillet 2014
A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad-hoc networks
Annals of telecommunications: special issue on belief functions and uncertainty management in networks and telecommunication, pp 185-199, Vol. 69, No. 3-4, , avril 2014
Multi-Sensor multi-target tracking with robust kinematic data based credal classification
8th Workshop, Sensor Data Fusion: Trends, Solutions, Application , SDF 2013, Bonn, Germany, octobre 2013
2013
International conference with review committee
Exchanging dynamic and imprecise information in V2V networks with belief functions
16th Int. IEEE Conf. on Intelligent Transport Systems, 6-9 october, ITSC 2013, pp 967-972, The Hague, The Netherlands, janvier 2013
2013
French conference with review committee
Fusion d’Informations pour la Classification Multi-capteurs, Multi-cibles
22èmes Rencontres Francophones sur la Logique Floue et ses Applications , 10-11 octobre , LFA 2013, pp 111-118, Reims, janvier 2013
Tracking and Identification of Multiple Targets
7ème Workshop Interdisciplinaire sur la Sécurité Globale, WISG, No. 13, Troyes, France, janvier 2013
Classification crédale multi-cibles
21e Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2012), pp 201-208, Compiègne, France, novembre 2012
Étude préliminaire de l’application de la fusion d’informations pour le diagnostic de défauts de bobinages de machines à courant alternatif
21e Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2012), pp 87-94, Compiègne, France, novembre 2012
Un processus V2V d’échanges et de gestion d’informations imparfaites basé sur des fonctions de croyance
21e Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2012), pp 71-78, Compiègne, France, novembre 2012
2012
International conference with review committee
An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functions
38th Annual Conference of the IEEE Industrial Electronics Society, IECON 2012, pp 5078-5083, Montréal, Québec, Canada, octobre 2012
Belief functions contextual discounting and canonical decompositions
International Journal of Approximate Reasoning, pp 146-158, Vol. 53, No. 2, février 2012
David MERCIER -- Eric LEFEVRE -- Daniel JOLLY
Object association with belief functions, an application with vehicles
Information Sciences, pp 5485-5500, Vol. 181, No. 24, décembre 2011
2011
International conference with review committee
Eric LEFEVRE -- Zied ELOUEDI -- David MERCIER
Towards an Alarm for Opposition Conflict in a Conjunctive
European Conference Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2011, pp 314-325, Vol. Springer, LNCS 6717, Belfast, UK, juillet 2011
2011
International conference with review committee
Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions
IEEE Intelligent Vehicles Symposium, pp 436-441, Baden-Baden, Germany, juin 2011
2010
French conference with review committee
David MERCIER -- Zied ELOUEDI -- Eric LEFEVRE
Sur l’affaiblissement d’une fonction de croyance par une matrice de confusion
Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2010, pp 277-283, Lannion, France, novembre 2010
2010
International conference with review committee
Zied ELOUEDI -- Eric LEFEVRE -- David MERCIER
Discountings of a belief function using a confusion matrix
IEEE International Conference on Tools with Artificial Intelligence, pp 287-294, Arras, octobre 2010
David MERCIER
Extending the contextual discounting of a belief function thanks to its canonical disjunctive decomposition
1st Workshop on Belief Functions, pp paper 61, Brest, France, , avril 2010
David MERCIER -- Eric LEFEVRE -- Daniel JOLLY
Association pour le suivi d’objets dans le cadre de la théorie des fonctions de croyance, application aux véhicules intelligents
Revue des Nouvelles Technologies de l'Information, RNTI, pp 25-50, Vol. E-18, février 2010
Belief function correction mechanisms
Studies in Fuzziness and Soft Computing, Foundations of Reasoning under Uncertainty, pp 203-222, Vol. 249, B. Bouchon-Meunier et al., janvier 2010
Robust Diagnostics of Stator Insulation Based on High Frequency Resonances Measurements
IEEE Transactions on Dielectrics and Electrical Insulation, pp 1496-1502, Vol. 16, No. 5, octobre 2009
2009
International conference with review committee
Belief Assignment on Compound Hypotheses within the Framework of the Transferable Belief Model
12th International Conference on Information Fusion, Seattle, USA, juillet 2009
David MERCIER -- Eric LEFEVRE -- Daniel JOLLY
Object Association in the TBM Framework, Application to Vehicle Driving Aid
International Symposium on Imprecise Probability: Theories and Applications, ISIPTA'09, Durham, juillet 2009
Decision fusion for postal address recognition using belief functions
Expert Systems with Applications, pp 5643-5653, Vol. 36, No. 3, avril 2009
2008
International conference with review committee
A parametrized family of belief functions correction mechanisms
Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2008, Malaga, Espagne, juin 2008
2008
International conference with review committee
Diagnostic based on high Frequency Resonances and Information Fusion
17ème IEEE International Symposium on Electrical Insulation, ISEI, Vancouver, Canada, juin 2008
David MERCIER -- Benjamin QUOST -- Thierry DENOEUX
Refined modeling of sensor reliability in the belief function framework using contextual discounting
Information Fusion, pp 246-258, Vol. 9, No. 2, avril 2008
Application du Modèle des Croyances Transférables dans le cadre d’expertises en Entomologie Médico-Légale
5ème atelier sur la Fouille de données complexes dans un processus d'extraction des connaissances, pp 49-60, Sophia Antipolis, France, janvier 2008
Fusion de décisions postales dans le cadre du Modèle des Croyances Transférables
Traitement du Signal, pp 133-151, Vol. 24, No. 2, janvier 2007

Author of the HDR "Corrections and informaton fusion Belief functions and information fusion. Developments and applications."

2015

This work has been realized with the belief function theory (or Dempster-Shafer theory), a model for uncertainty representation which generalizes in particular the probability theory. In this model, a summary of our work related with correction mechanisms of the information provided by a source is given, as well as an application in classification. Our contributions in three applications in information fusion with belief functions are also exposed. These applications concern car to car communication, data association with belief functions, the diagnosis of the winding ageing of an electric machine.

Pauline MINARY

2014 -

Blurring faces on video images using the belief function theory

Keywords:
Video sequences, blurring faces, face detectors, information fusion, belief functions

Samir HACHOUR

2011 - 2015

Multi-object tracking and classification : contributions with belief functions theory

Keywords:
Multi-object tracking and classification, data assignment, belief functions, multi-sensor data fusion

Mira BOU FARAH

2010 - 2014

Methods using belief functions to manage imperfect information in vehicular networks

Keywords:
Vehicular Ad-hoc Networks (VANET), Theory of belief functions, Transferable Belief Model (TBM), Data fusion, Events on the road, Decentralized architecture

SmartMOB (ELSAT 2020)

2015 - 2020

Smart Mobility

Summary :

The first purpose of the SmartMOB (Smart MOBility) project is to encourage drivers to park their cars to continue their trips using public transport to save time, facilitate their trips, save money, to reduce greenhouse gas emissions...

NISTO

2012 - 2015

New Integrated Smart Transport Options

Summary :

L’objectif de ce projet est la création d’un outil d’évaluation transnational des projets de mobilité alternative qui prendra en compte tous les éléments suivants : La mobilité (son efficacité, le temps de trajet…), le développement économique, la qualité environnementale, la sécurité et la satisfaction des consommateurs.

PlaiiMob (CISIT)

2007 - 2013

Plate-forme de simulation dédiée aux services de MOBilité

Summary :

L’objectif de ce projet est d’illustrer de quelle manière les informations partielles peuvent être échangées dans le contexte de la communication inter-véhicule, par exemple pour prévenir le conducteur d’un événement potentiellement dangereux (accident, obstacle sur la route, freinage, …) ou pour l’assister (trouver une place de parking libre, éviter les embouteillages, être informer en temps réel des conditions de trafic).