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ORCIDFrançois Le Gland
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2020 – today
- 2021
[c21]Audrey Cuillery, François Le Gland:
Particle filters with auxiliary Markov transition. Application to crossover and to multitarget tracking. FUSION 2021: 1-8
2010 – 2019
- 2019
- [c20]Audrey Cuillery, François Le Gland:
Track-before-detect on radar image observation with an adaptive auxiliary particle filter. FUSION 2019: 1-8 - 2017
- [c19]Kersane Zoubert-Ousseni, Christophe Villien, François Le Gland:
Post-processing optimization of piecewise indoor trajectories based on IMU and RSS measurements. IPIN 2017: 1-8 - 2016
- [j7]Paul Bui Quang, Christian Musso, François Le Gland:
Particle filtering and the laplace method for target tracking. IEEE Trans. Aerosp. Electron. Syst. 52(1): 350-366 (2016) - [j6]Alexandre Lepoutre, Olivier Rabaste, François Le Gland:
Multitarget likelihood computation for track-before-detect applications with amplitude fluctuations of type swerling 0, 1, and 3. IEEE Trans. Aerosp. Electron. Syst. 52(3): 1089-1107 (2016) - [c18]Kersane Zoubert-Ousseni, Christophe Villien, François Le Gland:
Comparison of post-processing algorithms for indoor navigation trajectories. IPIN 2016: 1-6 - 2015
- [j5]Rudy Pastel, Jérôme Morio
, François Le Gland:
Extreme density level set estimation for input-output functions via the adaptive splitting technique. J. Comput. Sci. 6: 40-46 (2015) - [j4]Damien Jacquemart, Jérôme Morio, François Le Gland:
Some ideas for bias and variance reduction in the splitting algorithm for diffusion processes. J. Comput. Sci. 11: 58-68 (2015) - [c17]Paul Bui Quang, Christian Musso, François Le Gland:
The Kalman Laplace filter: A new deterministic algorithm for nonlinear Bayesian filtering. FUSION 2015: 1566-1573 - [c16]Yannick Kenné, François Le Gland, Christian Musso, Sébastien Paris, Yannick Glemarec, Émile Vasta:
Simulation-Based Algorithms for the Optimization of Sensor Deployment. MCO (2) 2015: 261-272 - 2013
- [c15]Alexandre Lepoutre, Olivier Rabaste, François Le Gland:
Exploiting amplitude spatial coherence for multi-target particle filter in Track-Before-Detect. FUSION 2013: 319-326 - [c14]Damien Jacquemart-Tomi, Jérôme Morio, François Le Gland:
A combined importance splitting and sampling algorithm for rare event estimation. WSC 2013: 1035-1046 - 2012
- [c13]Paul Bui Quang, Christian Musso, François Le Gland:
Multidimensional Laplace formulas for nonlinear Bayesian estimation. EUSIPCO 2012: 1890-1894 - [c12]Mathieu Chouchane, Sébastien Paris, François Le Gland, Mustapha Ouladsine:
Splitting Method for Spatio-temporal Sensors Deployment in Underwater Systems. EvoCOP 2012: 243-254 - [c11]Alexandre Lepoutre, Olivier Rabaste, François Le Gland:
A particle filter for target arrival detection and tracking in Track-Before-Detect. SDF 2012: 13-18 - 2011
- [c10]Mathieu Chouchane, Sébastien Paris, François Le Gland, Christian Musso, Dinh-Tuan Pham:
On the probability distribution of a moving target. Asymptotic and non-asymptotic results. FUSION 2011: 1-8 - [c9]Christian Musso, Paul Bui Quang, François Le Gland:
Introducing the Laplace approximation in particle filtering. FUSION 2011: 1-8 - 2010
- [c8]Paul Bui Quang, Christian Musso, François Le Gland:
An insight into the issue of dimensionality in particle filtering. FUSION 2010: 1-8
2000 – 2009
- 2009
- [c7]Pierre Blanchart, Liyun He, François Le Gland:
Information fusion for indoor localization. FUSION 2009: 2083-2090 - [p2]Pierre L'Ecuyer, François LeGland, Pascal Lezaud, Bruno Tuffin:
Splitting Techniques. Rare Event Simulation using Monte Carlo Methods 2009: 39-61 - 2005
- [c6]Qinghua Zhang, Fabien Campillo, Frédéric Cérou, François Le Gland:
Nonlinear system fault detection and isolation based on bootstrap particle filters. CDC/ECC 2005: 3821-3826 - [c5]François LeGland, Nadia Oudjane:
A sequential particle algorithm that keeps the particle system alive. EUSIPCO 2005: 1-4 - [c4]Frédéric Cérou, François LeGland, Pierre Del Moral, Pascal Lezaud:
Limit theorems for the multilevel splitting algorithm in the simulation of rare events. WSC 2005: 682-691 - 2001
- [p1]Christian Musso, Nadia Oudjane, François Le Gland:
Improving Regularised Particle Filters. Sequential Monte Carlo Methods in Practice 2001: 247-271 - 2000
- [j3]François Le Gland, Laurent Mevel:
Basic Properties of the Projective Product with Application to Products of Column-Allowable Nonnegative Matrices. Math. Control. Signals Syst. 13(1): 41-62 (2000) - [j2]François Le Gland, Laurent Mevel:
Exponential Forgetting and Geometric Ergodicity in Hidden Markov Models. Math. Control. Signals Syst. 13(1): 63-93 (2000) - [c3]Frédéric Cérou, François LeGland:
Efficient particle methods for residual generation in partially observed SDEs. CDC 2000: 1200-1205 - [c2]François LeGland, Nadia Oudjane:
Stability and approximation of nonlinear filters in the Hilbert metric, and application to particle filters. CDC 2000: 1585-1590 - [c1]François LeGland, Laurent Mevel:
Fault detection in hidden Markov models : a local asymptotic approach. CDC 2000: 4686-4690
1990 – 1999
- 1998
- [j1]Damiano Brigo, Bernard Hanzon, François LeGland:
A differential geometric approach to nonlinear filtering: the projection filter. IEEE Trans. Autom. Control. 43(2): 247-252 (1998)
Coauthor Index
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