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Multi-sensors data fusion using Dynamic Bayesian Network for robotised vehicle geo-localisation.

, , , and . FUSION, page 1-8. IEEE, (2008)

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Fault tolerant collaborative localization for multi-robot system., , and . MED, page 907-913. IEEE, (2016)Towards an Estimate of Confidence in a Road-Matched Location., and . ICRA, page 2217-2222. IEEE, (2005)A novel geo-localisation method using GPS, 3D-GIS and laser scanner for intelligent vehicle navigation in urban areas., , , , , and . ICAR, page 1-6. IEEE, (2009)Vehicle geo-localization using IMM-UKF multi-sensor data fusion based on virtual 3D city model as a priori information., , , , , and . ICVES, page 7-12. IEEE, (2012)Multi-sensors data fusion using Dynamic Bayesian Network for robotised vehicle geo-localisation., , , and . FUSION, page 1-8. IEEE, (2008)Fast multi fault detection & exclusion approach for GNSS integrity monitoring., , , , and . FUSION, page 1-6. IEEE, (2014)Collaborative Localization for Multi-Robot System with Fault Detection and Exclusion Based on the Kullback-Leibler Divergence., , and . J. Intell. Robotic Syst., 87 (3-4): 661-681 (2017)Fault tolerant fusion approach based on information theory applied on GNSS localization., , , and . FUSION, page 696-702. IEEE, (2015)Combination of Maximum Correntropy Criterion & α-Rényi Divergence for a Robust and Fail-Safe Multi-Sensor Data Fusion., , , and . MFI, page 61-67. IEEE, (2020)Fault tolerant multi-sensor fusion for multi-robot collaborative localization., , and . MFI, page 272-278. IEEE, (2016)