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Mini CV Pr. Maan EL BADAOUI EL NAJJAR

Roles and Responsabilities

Summary

Pr. Maan El Badaoui El Najjar's research and teaching interests are mainly in computer science and engineering. He has also taught various courses in robotics, control system and computer engineering. His research has been focused on fault tolerant multi-sensor fusion approach which is able to effectively deal with faulty sensors of dynamic systems and has desired capacities for robotics and intelligent vehicle system applications. Background

Pr. Maan El Badaoui El Najjar received the computer engineering degree (French engineer diploma) from the Ecole Nationale Supérieur en Systèmes Avancés et Réseaux (ESISAR – INP Grenoble- France) in 1999. He graduated from the Ecole Nationale Supérieure d’Ingénieurs Electriciens de Grenoble (ENSIEG – INP Grenoble (actually ENS3E)) in 2000 (Master of Science degree in Control System). He received the Ph. D. degree in Science and Technology of Information - Option: Perception and Control Systems from the University de Technology of Compiegne (UTC) in 2003. In November 2011, he obtained the “Habilitation à Diriger des Recherches” degree from the University of Lille.

He joined the University of Lille in 2005 as a permanent associate Professor. Since 2014, he is a full Professor at the University of Lille. He is also with the CRIStAL Laboratory UMR 9189, a joint research unit between CNRS, University of Lille and Ecole Centrale de Lille. He is also the head of the DiCOT Team “Diagnostic, Control and Observation for fault Tolerant Systems” of the CRIStAL Laboratory.

Research interests

Application:

Students

Projects and Research Grants

Journal articles22 documents

  • Mohamad Daher, Joelle Al Hage, Maan El Badaoui El Najjar, Ahmad Diab, Khalil Mohamad, et al.. Toward High Integrity Personal Localization System Based on Informational Formalism. IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2019, 68 (11), pp.4590-4599. ⟨10.1109/TIM.2018.2886976⟩. ⟨hal-02427488⟩
  • Joelle Al Hage, Stefano Mafrica, Maan El Badaoui El Najjar, Franck Ruffier. Informational Framework for Minimalistic Visual Odometry on Outdoor Robot. IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2019, pp.1-8. ⟨10.1109/TIM.2018.2871228⟩. ⟨hal-01894435⟩
  • Boussad Abci, Maan El Badaoui El Najjar, Vincent Cocquempot, Gérald Dherbomez. An informational approach for sensor and actuator fault diagnosis for autonomous mobile robots. Journal of Intelligent and Robotic Systems, Springer Verlag, 2019, ⟨10.1007/s10846-019-01099-7⟩. ⟨hal-02424125⟩
  • Joelle Al Hage, Maan El Badaoui El Najjar. Improved Outdoor Localization Based on Weighted Kullback-Leibler Divergence for Measurements Diagnosis. IEEE Intelligent Transportation Systems Magazine, IEEE, 2018, pp.1-1. ⟨10.1109/MITS.2018.2879165⟩. ⟨hal-01756703⟩
  • Yajie Ma, Vincent Cocquempot, Maan El Badaoui El Najjar, Bin Jiang. Adaptive Compensation of Multiple Actuator Faults for Two Physically Linked 2WD Robots. IEEE Transactions on Robotics, IEEE, 2018, 34 (1), pp.248-255. ⟨hal-01667960⟩
  • Yajie Ma, Vincent Cocquempot, Maan El Badaoui El Najjar, Bin Jiang. Actuator Failure Compensation for Two Linked 2WD Mobile Robots Based on Multiple-Model Control. International Journal of Applied Mathematics and Computer Science, University of Zielona Góra 2018, 27 (4). ⟨hal-01667977⟩
  • Mohamad Daher, Ahmad Diab, Maan El Badaoui El Najjar, Mohamad Khalil, François Charpillet. Elder Tracking and Fall Detection System using Smart Tiles. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2017, 17 (2), ⟨10.1109/JSEN.2016.2625099⟩. ⟨hal-01393492⟩
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Fault tolerant multi-sensor fusion based on the information gain. Journal of Physics: Conference Series, IOP Publishing, 2017, 783 (1), ⟨10.1088/1742-6596/783/1/012011⟩. ⟨hal-01509560⟩
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Localisation collaborative d’un système multi-robots avec détection et isolation de défauts capteurs basée sur la divergence de Kullback-Leibler. Journal Européen des Systèmes Automatisés (JESA), Lavoisier, 2017. ⟨hal-01509964⟩
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Multi-Sensor Fusion Approach with Fault Detection and Exclusion based on the Kullback-Leibler Divergence: Application on Collaborative Multi-Robot System. Information Fusion, Elsevier, 2017, 37, pp.61-76. ⟨10.1016/j.inffus.2017.01.005⟩. ⟨hal-01444314⟩
  • Yajie Ma, Vincent Cocquempot, Maan El Badaoui El Najjar, Bin Jiang. Multidesign Integration Based Adaptive Actuator Failure Compensation Control for Two Linked 2WD Mobile Robots. IEEE/ASME Transactions on Mechatronics, Institute of Electrical and Electronics Engineers, 2017, 22 (5), pp.2174 - 2185. ⟨10.1109/TMECH.2017.2731523⟩. ⟨hal-01667967⟩
  • Mohamad Daher, Ahmad Diab, Maan El Badaoui El Najjar, Mohamad Khalil, François Charpillet. Automatic Fall Detection System using Sensing Floors. International Journal of Computing and Information Sciences (IJCIS), APCEP - Canada, 2016, 12 (1), pp.75-82. ⟨10.21700/ijcis.2016.110⟩. ⟨hal-01393478⟩
  • Dawood Maya, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Bachar El Hassan, et al.. Virtual 3D city model as a priori information source for vehicle localization system . Transportation research. Part C, Emerging technologies, Elsevier, 2016, ⟨10.1016/j.trc.2015.12.003⟩. ⟨hal-01375732⟩
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Collaborative Localization for Multi-Robot System with Fault Detection and Exclusion based on the Kullback-Leibler Divergence. Journal of Intelligent and Robotic Systems, Springer Verlag, 2016, ⟨10.1007/s10846-016-0451-z⟩. ⟨hal-01408272⟩
  • Cherif Smaili, Maan El Badaoui El Najjar, François Charpillet. A Hybrid Bayesian Framework for Map Matching: Formulation Using Switching Kalman Filter. Journal of Intelligent and Robotic Systems, Springer Verlag, 2014, 74 (3-4), pp.18. ⟨10.1007/s10846-013-9844-4⟩. ⟨hal-01091321⟩
  • Maan El Badaoui El Najjar, Denis Pomorski, Dawood Maya. Virtual 3D city model as a priori information source of vehicle ego-localization system. Transportation research. Part C, Emerging technologies, Elsevier, 2013. ⟨hal-00814339⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pormski. Virtual 3D City Model for Navigation in Urban Areas. Journal of Intelligent and Robotic Systems, Springer Verlag, 2011, 66, pp.377-399. ⟨10.1007/s10846-011-9594-0⟩. ⟨hal-00599703⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Intelligent Geolocalization in Urban Areas Using Global Positioning Systems, Three-Dimensional Geographic Information Systems, and Vision. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2010, 14(1), pp.3-12. ⟨hal-00821916⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Intelligent geo-localisation in urban areas using global positioning systems, 3dimensional geographic information systems, and vision. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2010, 14 (1), pp.3 - 12. ⟨10.1080/15472450903385999⟩. ⟨inria-00441814⟩
  • Cherif Smaili, François Charpillet, Maan El Badaoui El Najjar. A road matching method for precise vehicle localization using hybrid Bayesian network. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2008, 12 (4), pp.176 - 188. ⟨10.1080/15472450802448153⟩. ⟨inria-00339350⟩
  • Maan El Badaoui El Najjar, Philippe Bonnifait. Road Selection using Multi-Criteria Fusion for the Roadmap-Matching Problem. IEEE Transactions on Intelligent Transportation Systems, IEEE, 2007, 8 - Issue 2, pp.279-291. ⟨inria-00172595v2⟩
  • Maan El Badaoui El Najjar, Philippe Bonnifait. A Road-Matching Method for Precise Vehicle Localization using Belief Theory and Kalman Filtering. Autonomous Robots, Springer Verlag, 2005. ⟨inria-00172637⟩

Conference papers45 documents

  • Boussad Abci, Maan El Badaoui El Najjar, Vincent Cocquempot, Gérald Dherbomez. Sensor fault tolerant sliding mode control using information filters with application to a two-wheeled mobile robot. 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), Apr 2019, Paris, France. pp.308-313, ⟨10.1109/CoDIT.2019.8820505⟩. ⟨hal-02424165⟩
  • Boussad Abci, Joelle Al Hage, Maan El Badaoui El Najjar, Vincent Cocquempot. Multi-Robot Autonomous Navigation System Using Informational Fault Tolerant Multi-Sensor Fusion with Robust Closed Loop Sliding Mode Control. 2018 21st International Conference on Information Fusion (FUSION 2018), Jul 2018, Cambridge, France. pp.1-5, ⟨10.23919/ICIF.2018.8455787⟩. ⟨hal-02424158⟩
  • Daniel Augusto Pereira, Ayad Al-Dujaili, Maan El Badaoui El Najjar, Vincent Cocquempot, Yajie Ma. Actuator fault estimation and fault tolerant control in three physically-linked 2WD mobile robots. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Aug 2018, Warsaw, Poland. ⟨hal-01781337⟩
  • Ayad Al-Dujaili, Vincent Cocquempot, Maan El Badaoui El Najjar, Yajie Ma. Actuator Fault Compensation Tracking Control for Multi Linked 2WD Mobile Robots. IEEE MED 2017, 25th Mediterranean Conference on Control and Automation Control and Automation, Jul 2017, Valetta, Malta, Malta. ⟨hal-01667887⟩
  • Ayad Al-Dujaili, Maan El Badaoui El Najjar, Vincent Cocquempot. Actuator Fault Compensation in Three Linked 2WD Mobile Robots Using Multiple Dynamic Controllers. IFAC WC, Toulouse, Jul 2017, Toulouse, France. ⟨hal-01667897⟩
  • Boussad Abci, Gang Zheng, Denis Efimov, Maan El Badaoui El Najjar. Robust Altitude and Attitude Sliding Mode Controllers for Quadrotors. IFAC World Congress, Jul 2017, Toulouse, France. ⟨hal-01660112⟩
  • Joelle Al Hage, Stephano Mafrica, Maan El Badaoui El Najjar, Franck Ruffier. TOWARD AN ADVANCED INFORMATIONAL FRAMEWORK FOR IMPROVING MINIMALISTIC VISUAL ODOMETRY. ASTRA 2017, ESA, Jun 2017, Leiden, Netherlands. ⟨hal-01741324⟩
  • Yajie Ma, Vincent Cocquempot, Maan El Badaoui Ei Najjar, Andrey Polyakov, Gang Zheng. Fault-Tolerant Control for Physically Linked Two 2WD Mobile Robots with Actuator Faults. IFAC World Congress, Jul 2017, Toulouse, France. ⟨hal-01660111⟩
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Fault tolerant multi-sensor fusion based on the information gain. 13th IFAC European Workshop on Advanced Control and Diagnosis (ACD’2016), Nov 2016, Lille, France. ⟨hal-01509719⟩
  • Yajie Ma, Ayad Al-Dujaili, Vincent Cocquempot, Maan El Badaoui El Najjar. An adaptive actuator failure compensation scheme for two linked 2WD mobile robots.. Advanced Control and Diagnosis, ACD, Nov 2016, Lille, France. ⟨hal-01667797⟩
  • Yajie Ma, Vincent Cocquempot, Maan El Badaoui El Najjar, Bin Jiang. Multiple-Model Actuator Failure Compensation for Two Linked 2WD Robots.. SysTol’16: 3rd International Conference on Control and Fault-Tolerant Systems, Sep 2016, Barcelona, Spain. ⟨hal-01374913⟩
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Fault tolerant collaborative localization for multi-robot system. 2016 24th Mediterranean Conference on Control and Automation (MED), Jun 2016, Athènes, Greece. ⟨10.1109/MED.2016.7535869⟩. ⟨hal-01374186⟩
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Fault Tolerant Multi-Sensor Fusion for Multi-Robot Collaborative Localization. The 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Sep 2016, Baden-Baden, Germany. ⟨hal-01374188⟩
  • Joelle Al Hage, Fatima El Zahraa Wehbi, Denis Pomorski, Maan El Badaoui El Najjar. Contrôle d’une flotte de robots mobiles via l’environnement Matlab/ROS. Congrès National de la Recherche en IUT (CNRIUT’2016), Jun 2016, Nantes, France. ⟨hal-01509784⟩
  • Mohamad Daher, Maan El Badaoui El Najjar, Ahmad Diab, Mohamad Khalil, François Charpillet. Towards a usable and an efficient elder fall detection system . International Conference on Advances in Biomedical Engineering (ICABME), Sep 2015, Beirut, Lebanon. ⟨10.1109/ICABME.2015.7323259⟩. ⟨hal-01248551⟩
  • Kaddour Mahmoud, Maan El Badaoui El Najjar, Naja Ziad, Nourdine Aït Tmazirte, Moubayed Nazih. Fault detection and exclusion for GNSS measurements using observations projection on information space. Fifth International Conference on Digital Information and Communication Technology and its Applications (DICTAP), Apr 2015, Beyrouh, Lebanon. ⟨hal-01374726⟩
  • Kaddour Mahmoud, Maan El Badaoui El Najjar, Naja Ziad, Nourdine Aït Tmazirte, Moubayed Nazih. Fault detection and exclusion of cycle slips for carrier-phase in GNSS positionning. 18th international conference on information Fusion, Fusion 2015, Washington DC; 07/2015 Jul 2015, Washington, United States. ⟨hal-01374724⟩
  • Joelle Al Hage, Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski. Fault detection and exclusion method for a tightly coupled localization system. 2015 International Conference on Advanced Robotics (ICAR), Jul 2015, Istanbul, Turkey. ⟨hal-01374184⟩
  • Joelle Al Hage, Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski. Fault Tolerant Fusion Approach Based on Information Theory Applied on GNSS Localization. 18 th International conference on information fusion (Fusion), Jul 2015, Washington DC, United States. ⟨hal-01374180⟩
  • Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Joelle Al Hage, Denis Pomorski. Fast multi fault detection & exclusion approach for GNSS integrity monitoring. Information Fusion (FUSION), 2014 17th International Conference on, Jul 2014, Salamanque, Spain. ⟨hal-01374187⟩
  • Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski. Dynamical Reconfiguration Strategy of a Multi Sensor Data Fusion Algorithm Based on Information Theory. IEEE Intelligent Vehicles Symposium, Jun 2013, Gold coast, Australia. ⟨hal-00821938⟩
  • Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Cherif Smaili, Denis Pomorski. Fast multi-fault detection and exclusion approach for GNSS integrity monitoring. 16th IEEE International Conference on Advanced Robotics (ICAR’2013), Nov 2013, Montevideo, Uruguay. ⟨hal-01509699⟩
  • Maya Dawood, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski. Harris, SIFT and SURF features comparison for vehicle localization based on virtual 3D model and camera. International Conference on Image Processing Theory, Tools and Applications (IPTA'2012), Oct 2012, Istanbul, Turkey. ⟨10.1109/IPTA.2012.6469511⟩. ⟨hal-01509713⟩
  • Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski. Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring. Fusion 2012, Jul 2012, Singapore, Singapore. ⟨hal-00821950⟩
  • Dawood Maya, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski. Vehicle Geo-Localization Using IMM-UKF Data Fusion based on Virtual 3D City Model As a Priori Information. The 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES'12), Jul 2012, ISTANBUL, Turkey. ⟨hal-00821974⟩
  • Maya Dawood, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski. Vehicle geo-localization based on IMM-UKF data fusion using a GPS receiver, a video camera, and a 3D city model. 2011 IEEE Intelligent Vehicles Symposium (IV’2011), Jun 2011, Baden-Baden, Germany. ⟨10.1109/IVS.2011.5940517⟩. ⟨hal-01509750⟩
  • Jing Peng, Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Virtual 3D city model for intelligent vehicle geo-localization. The 9th IEEE International Conference on ITS Telecommunication (ITST’2009), Oct 2009, Lille, France. ⟨10.1109/ITST.2009.5399306⟩. ⟨hal-01509762⟩
  • Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski. Etude de l’apport d’un modèle 3D virtuel pour la géo-localisation et la détection d’obstacles. 15ème colloque national de la recherche dans les IUT (CNRIUT’2009), Jun 2009, Lille, France. ⟨hal-01509776⟩
  • Cindy Cappelle, Jing Peng, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Vehicle geo-localization with virtual 3D city model. Workshop on “Localisation Précise pour les Transports Terrestres”, Jun 2009, Paris, France. ⟨hal-01509764⟩
  • Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski, François Charpillet. Fusion de données GPS, vision, Lidar et SIG3D pour la géo-localisation et la détection d’obstacles. 7èmes Journées Nationales de la Recherche en Robotique (JNRR’2009), Nov 2009, Neuvy-sur-Barangeon, France. ⟨hal-01509756⟩
  • Jing Peng, Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski, François Charpillet, et al.. A novel geo-localisation method using GPS, 3D-GIS and Laser scanner for intelligent vehicle navigation in urban areas. 14th International Conference on Advanced Robotics - ICAR'2009, Jun 2009, Munich, Germany. pp.1-6. ⟨inria-00441772⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Multi-sensor data fusion for geo-localisation in urban areas. European Navigation Conference - Global Navigation Satellite Sytems - ENC-GNSS'08, Apr 2008, Toulouse, France. ⟨inria-00332451⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Multisensor data fusion for geolocalisation in urban areas. Fusion'2008, 2008, Cologne, Germany. ⟨hal-00323331⟩
  • Cherif Smaili, François Charpillet, Maan El Badaoui El Najjar. Multi-sensor Fusion Method Using Bayesian Network for Precise Multi-vehicle Localization. The 11th International IEEE Conference on Intelligent Transportation Systems, Oct 2008, Beijing,, China. ⟨inria-00339316⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Détection, suivi et géo-localisation d'obstacles à l'aide d'un modèle 3D géo-référencé, une caméra et un GPS : validation avec un lidar. Conférence Internationale Francophone d'Automatique - CIFA'08, Sep 2008, Bucarest, Roumanie. ⟨inria-00332476⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski. Obstacle detection and localization method based on 3D model: distance validation with Ladar. IEEE International Conference on Robotics and Automation - ICRA'08, May 2008, Pasadena, United States. pp.4031-4036, ⟨10.1109/ROBOT.2008.4543830⟩. ⟨inria-00332456⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Geo-localization in urban areas based on virtual 3D city model and vision. IEEE/RSJ 2008 International Conference on Intelligent RObots and Systems, Sep 2008, Nice, France. ⟨hal-00323330⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Multi-sensors data fusion using dynamic bayesian network for robotised vehicle geo-localisation. 11th International Conference on Information Fusion, Jul 2008, Cologne, Germany. pp.1-8. ⟨inria-00332441⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski. Outdoor Obstacle Detection and Localisation with Monovision and 3D Geographical Database. The 10th International IEEE Conference on Intelligent Transportation Systems - ITSC'07, Oct 2007, Seattle, United States. pp.1102-1107. ⟨inria-00172651⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Localisation in urban environment using GPS and INS aided by monocular vision system and 3D geographical model. 2007 IEEE Intelligent Vehicles Symposium (IV'07), Jun 2007, Istanbul, Turkey. ⟨inria-00172669⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski. Obstacles detection and localisation with 3D geographical model and monovision. IEEE Intelligent Transportation Systems Conference - ITSC'07, Sep 2007, Seattle, United States. pp.1102-1107. ⟨inria-00332460⟩
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Mise en correspondance d'images réelles avec un modèle 3D géographique pour la localisation terrestre. cinquième édition des ateliers de travail sur le traitement et l'analyse de l'information : Méthodes et Applications - TAIMA'07, May 2007, Hammamet, Tunisie. pp.523-528. ⟨inria-00332482⟩
  • Cherif Smaili, Maan El Badaoui El Najjar, François Charpillet. Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching. 19th IEEE International Conference on Tools with Artificial Intelligence - ICTAI 2007, Oct 2007, Patras, Greece. 6 p. ⟨inria-00170426⟩
  • Maan El Badaoui El Najjar, Philippe Bonnifait. Towards an estimate of Confidence in a Road-Matched Location. International Conference on Robotics and Automation - ICRA'2005, Apr 2005, Barcelona/Spain. ⟨inria-00000922⟩
  • Maan El Badaoui El Najjar, Philippe Bonnifait. Intelligent Vehicle Absolute Localisation using GIS Information : A Data Fusion Approach. 16th IFAC World Congress, IFAC, Jul 2005, Prague, Czech Republic. ⟨inria-00000923⟩

Book sections3 documents

  • Maan El Badaoui El Najjar, Cherif Smaili, François Charpillet, Denis Pomorski. Localisation intègre de véhicules avec fusion multi-capteurs tolérante aux défaillances. Nda Matta, Yves Vanderboomgaerde, Jean Arlat. Supervision, surveillance et sûreté de fonctionnement des grands systèmes, Hermes, Lavoisier, pp.55-94, 2012, Traité IC2 Série Systèmes automatisés, 2746238403. ⟨hal-00769562⟩
  • Maan El Badaoui El Najjar, Cherif Smaili, François Charpillet, Denis Pomorski, Mireille Bayart. Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization. Nada Matta and Yves Vandenboomgaerde and Jean Arlat. Supervision and Safety of Complex Systems, Wiley-ISTE, 2012, 978-1-84821-413-2. ⟨hal-00769570⟩
  • Cherif Smaili, François Charpillet, Maan El Badaoui El Najjar, Cédric Rose. Multi-sensor fusion for mono and multi-vehicle localization using Bayesian network. Paula Fritzsche. Tools in Artificial Intelligence, IN-TEH, 2008, 978-953-7619-03-9. ⟨inria-00339326⟩