7 citations · 7 across the 4 of their papers we have counts for
4 papers
LARD 2.0: Enhanced Datasets and Benchmarking for Autonomous Landing Systems
Yassine Bougacha, Geoffrey Delhomme, Mélanie Ducoffe +8
This paper addresses key challenges in the development of autonomous landing systems, focusing on dataset limitations for supervised training of Machine Learning (ML) models for ob…
How to design a dataset compliant with an ML-based system ODD?
Cyril Cappi, Noémie Cohen, Mélanie Ducoffe +8
This paper focuses on a Vision-based Landing task and presents the design and the validation of a dataset that would comply with the Operational Design Domain (ODD) of a Machine-Le…
LARD -- Landing Approach Runway Detection -- Dataset for Vision Based Landing
Mélanie Ducoffe, Maxime Carrere, Léo Féliers +4
As the interest in autonomous systems continues to grow, one of the major challenges is collecting sufficient and representative real-world data. Despite the strong practical and c…
Formal Approach for the Verification of Onboard Autonomous Functions in Observation Satellites
Vincent Mussot, Silvano Dal Zilio, Loic Correnson +3
We propose a new approach for modelling the functional behaviour of an Earth observation satellite. We leverage this approach in order to develop a safety critical software, a "tel…