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ORCIDMohammed Boumediene
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2020 – today
- 2023
[j3]Mohammed Boumediene
, Hossni Zebiri, Jean Dezert:
Evidential data association based on Dezert-Smarandache Theory. Int. J. Intell. Robotics Appl. 7(1): 91-102 (2023)- 2020
- [c6]Mohammed Boumediene, Jean Dezert:
Evaluation of Probabilistic Transformations for Evidential Data Association. IPMU (2) 2020: 312-326
2010 – 2019
- 2018
- [c5]Hind Laghmara, Christophe Cudel, Jean-Philippe Lauffenburger, Mohammed Boumediene:
Evidential Object Association Using Heterogeneous Sensor Data. FUSION 2018: 1285-1292 - 2017
- [c4]Hind Laghmara, Christophe Cudel, Jean-Philippe Lauffenburger, Mohammed Boumediene:
On the information selection for optimal data association. FUSION 2017: 1-8 - 2016
- [c3]Jean-Philippe Lauffenburger, Mohammed Boumediene:
Adaptive Credal Multi-Target Assignment for Conflict Resolving. FUSION 2016: 1578-1584 - 2014
- [j2]Mohammed Boumediene, Jean-Philippe Lauffenburger, Jérémie Daniel, Christophe Cudel, Abdelaziz Ouamri:
Multi-ROI Association and Tracking With Belief Functions: Application to Traffic Sign Recognition. IEEE Trans. Intell. Transp. Syst. 15(6): 2470-2479 (2014) - [c2]Jean-Philippe Lauffenburger, Jérémie Daniel, Mohammed Boumediene:
Traffic Sign Recognition: Benchmark of credal object association algorithms. FUSION 2014: 1-7 - [c1]Mohammed Boumediene, Jean-Philippe Lauffenburger, Jérémie Daniel, Christophe Cudel:
Coupled detection, association and tracking for Traffic Sign Recognition. Intelligent Vehicles Symposium 2014: 1402-1407 - 2013
- [j1]Mohammed Boumediene, Christophe Cudel, Michel Basset, Abdelaziz Ouamri:
Triangular traffic signs detection based on RSLD algorithm. Mach. Vis. Appl. 24(8): 1721-1732 (2013)
Coauthor Index
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