207 citations
- Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)FR25 papers
- Institut de Mathématiques de ToulouseFR24 papers
- Office National d'Études et de Recherches AérospatialesFR21 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR20 papers
- Université Toulouse III - Paul SabatierFR20 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- Institut de Recherche en Informatique de ToulouseFR10 papers
- Institut National des Sciences Appliquées de ToulouseFR9 papers
- Université de ToulouseFR9 papers
- Université Toulouse - Jean JaurèsFR9 papers
- Institut Polytechnique de BordeauxFR8 papers
- Université Toulouse-I-CapitoleFR8 papers
18 papers · 1 filter
Cyclists route choice modeling from trip duration data in urban areas
Bertrand Jouve, Paul Rochet, Mohamadou Salifou
The lack of GPS data limits the ability to reconstruct the actual routes taken by cyclists in urban areas. This article introduces an inference method based solely on trip duration…
Optimized Area Coverage in Disaster Response Utilizing Autonomous UAV Swarm Formations
Lampis Papakostas, Aristeidis Geladaris, Athanasios Mastrogeorgiou +4
This paper presents a UAV swarm system designed to assist first responders in disaster scenarios like wildfires. By distributing sensors across multiple agents, the system extends…
Robust H2/H-infinity control under stochastic requirements: minimizing conditional value-at-risk instead of worst-case performance
Ervan Kassarian, Francesco Sanfedino, Daniel Alazard +1
Conventional robust H2/H-infinity control minimizes the worst-case performance, often leading to a conservative design driven by very rare parametric configurations. To reduce this…
Enhancing Line Density Plots with Outlier Control and Bin-based Illumination
Yumeng Xue, Bin Chen, Patrick Paetzold +3
Density plots effectively summarize large numbers of points, which would otherwise lead to severe overplotting in, for example, a scatter plot. However, when applied to line-based…
PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems
Florian Courteville, Iain Henderson, Denis Matignon +1
In order to learn distributed port-Hamiltonian systems (dPHS) using Gaussian processes (GPs), the partitioned finite element method (PFEM) is combined with the Gp-dPHS method. By f…
Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations
Pramudita Satria Palar, Paul Saves, Rommel G. Regis +4
Explainable machine learning techniques have gained increasing attention in engineering applications, especially in aerospace design and analysis, where understanding how input var…