Multi-sensor fusion approach with fault detection and exclusion based on the Kullback–Leibler Divergence: Application on collaborative multi-robot system J Al Hage, ME El Najjar, D Pomorski
Information Fusion 37, 61-76, 2017
107 2017 Localization integrity for intelligent vehicles through fault detection and position error characterization J Al Hage, P Xu, P Bonnifait, J Ibanez-Guzman
IEEE Transactions on Intelligent Transportation Systems 23 (4), 2978-2990, 2022
33 2022 Informational framework for minimalistic visual odometry on outdoor robot J Al Hage, S Mafrica, MEB El Najjar, F Ruffier
IEEE Transactions on Instrumentation and Measurement 68 (8), 2988-2995, 2018
17 2018 Data fusion with split covariance intersection for cooperative perception A Lima, P Bonnifait, V Cherfaoui, J Al Hage
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
14 2021 Fast multi fault detection & exclusion approach for GNSS integrity monitoring NA Tmazirte, ME El Najjar, J Al Hage, C Smaili, D Pomorski
17th International Conference on Information Fusion (FUSION), 1-6, 2014
14 2014 Fault tolerant collaborative localization for multi-robot system J Al Hage, ME El Najjar, D Pomorski
2016 24th Mediterranean Conference on Control and Automation (MED), 907-913, 2016
13 2016 High integrity localization with multi-lane camera measurements J Al Hage, P Xu, P Bonnifait
2019 IEEE Intelligent Vehicles Symposium (IV), 1232-1238, 2019
10 2019 Improved outdoor localization based on weighted Kullback-Leibler divergence for measurements diagnosis J Al Hage, MEB El Najjar
IEEE Intelligent Transportation Systems Magazine 12 (4), 41-56, 2018
9 2018 Fault detection and exclusion method for a tightly coupled localization system J Al Hage, N AïtTmazirte, ME El Najjar, D Pomorski
2015 International Conference on Advanced Robotics (ICAR), 623-628, 2015
8 2015 Student's J Al Hage, P Xu, P Bonnifait
2019 22th International Conference on Information Fusion (FUSION), 1-8, 2019
7 2019 Fault tolerant fusion approach based on information theory applied on GNSS localization J Al Hage, NA Tmazirte, ME El Najjar, D Pomorski
2015 18th International Conference on Information Fusion (Fusion), 696-702, 2015
7 2015 Bounding localization errors with Student distribution for road vehicles J Al Hage, P Xu, P Bonnifait
International Technical Symposium on Navigation and Timing, 2018
6 2018 Multi-robot autonomous navigation system using informational fault tolerant multi-sensor fusion with robust closed loop sliding mode control B Abci, J Al Hage, MEB El Najjar, V Cocquempot
2018 21st International Conference on Information Fusion (FUSION), 1-5, 2018
6 2018 Fusion de données tolérante aux défaillances: application à la surveillance de l’intégrité d’un système de localisation J Al Hage
Lille 1, 2016
5 2016 Fault tolerant multi-sensor fusion based on the information gain J Al Hage, ME El Najjar, D Pomorski
Journal of Physics: Conference Series 783 (1), 012011, 2017
4 2017 Ndt localization with 2d vector maps and filtered lidar scans M Escourrou, J Al Hage, P Bonnifait
2021 European Conference on Mobile Robots (ECMR), 1-6, 2021
3 2021 Toward high Integrity personal localization system based on informational formalism M Daher, J Al Hage, MEB El Najjar, A Diab, MA Khalil, F Charpillet
IEEE transactions on instrumentation and measurement 68 (11), 4590-4599, 2019
3 2019 Fault tolerant multi-sensor fusion for multi-robot collaborative localization J Al Hage, ME El Najjar, D Pomorski
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
3 2016 Feature selection algorithm used to classify faults in turbine bearings M KHALIL, J AL HAGE, K KHALIL
Int J Comput Sci Appl 4 (1), 12324-7037, 2015
3 2015 Collaborative Localization for Multi-Robot System with Fault Detection and Exclusion Based on the Kullback-Leibler Divergence JA Hage, ME El Najjar, D Pomorski
Journal of Intelligent & Robotic Systems 87, 661-681, 2017
2 2017 
EL BADAOUI EL NAJJAR MaanProfesseur des Universités en Automatique et Robotique, Université de LilleBestätigte E-Mail-Adresse bei univ-lille1.fr
