collaborators

6 papers

cs.CV2025

Contrail-to-Flight Attribution Using Ground Visible Cameras and Flight Surveillance Data

Ramon Dalmau, Gabriel Jarry, Philippe Very

Aviation's non-CO2 effects, particularly contrails, are a significant contributor to its climate impact. Persistent contrails can evolve into cirrus-like clouds that trap outgoing…

cs.LG2025

A Neural ODE Approach to Aircraft Flight Dynamics Modelling

Gabriel Jarry, Ramon Dalmau, Xavier Olive +1

Accurate aircraft trajectory prediction is critical for air traffic management, airline operations, and environmental assessment. This paper introduces NODE-FDM, a Neural Ordinary…

cs.LG2025

Aircraft Fuel Flow Modelling with Ageing Effects: From Parametric Corrections to Neural Networks

Gabriel Jarry, Ramon Dalmau, Philippe Very +1

Accurate modelling of aircraft fuel-flow is crucial for both operational planning and environmental impact assessment, yet standard parametric models often neglect performance dete…

cs.CV2025

GVCCS: A Dataset for Contrail Identification and Tracking on Visible Whole Sky Camera Sequences

Gabriel Jarry, Ramon Dalmau, Philippe Very +2

Aviation's climate impact includes not only CO2 emissions but also significant non-CO2 effects, especially from contrails. These ice clouds can alter Earth's radiative balance, pot…

cs.LG2024

On the Detection of Aircraft Single Engine Taxi using Deep Learning Models

Gabriel Jarry, Philippe Very, Ramon Dalmau +2

The aviation industry is vital for global transportation but faces increasing pressure to reduce its environmental footprint, particularly CO2 emissions from ground operations such…

cs.LG2024

On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models

Gabriel Jarry, Ramon Dalmau, Philippe Very +1

Accurately estimating aircraft fuel flow is essential for evaluating new procedures, designing next-generation aircraft, and monitoring the environmental impact of current aviation…