1 citations · 1 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
VerifIoU -- Robustness of Object Detection to Perturbations
Noémie Cohen, Mélanie Ducoffe, Ryma Boumazouza +4
We introduce a novel Interval Bound Propagation (IBP) approach for the formal verification of object detection models, specifically targeting the Intersection over Union (IoU) metr…
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing
Yizhak Elboher, Raya Elsaleh, Omri Isac +6
As deep neural networks (DNNs) are becoming the prominent solution for many computational problems, the aviation industry seeks to explore their potential in alleviating pilot work…
Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance
Mélanie Ducoffe, Guillaume Povéda, Audrey Galametz +5
Surrogate Neural Networks are nowadays routinely used in industry as substitutes for computationally demanding engineering simulations (e.g., in structural analysis). They allow to…