1 citations · 1 across the 5 of their papers we have counts for
6 papers
Towards On-Board Implementation of ML-Based Helicopter Weight Estimator
Nicolas Valot, Ammar Mechouche, Benjamin Lesage +2
This paper focuses on the implementation of a novel supervised Machine Learning model for estimating helicopter weight during takeoff, utilizing extensive datasets from Airbus's gl…
Interferences within a certifiable design methodology for high-performance multi-core platforms
Mohamed Amine Khelassi, Felix Suchert, Abderaouf Amalou +8
The adoption of high-performance multi-core platforms in avionics and automotive systems introduces significant challenges in ensuring predictable execution, primarily due to share…
Extension of ACETONE C code generator for multi-core architectures
Yanis Aït-Aïssa, Thomas Carle, Sergei Chichin +2
As the industry's interest in machine learning has grown in recent years, some solutions have emerged to safely embed them in safety-critical systems, such as the C code generator…
Implementation of airborne ML models with semantics preservation
Nicolas Valot, Louis Fabre, Benjamin Lesage +2
Machine Learning (ML) may offer new capabilities in airborne systems. However, as any piece of airborne systems, ML-based systems will be required to guarantee their safe operation…
COOK Access Control on an embedded Volta GPU
Benjamin Lesage, Frédéric Boniol, Claire Pagetti
The last decade has seen the emergence of a new generation of multi-core in response to advances in machine learning, and in particular Deep Neural Network (DNN) training and infer…
Towards the Certification of Hybrid Architectures: Analysing Interference on Hardware Accelerators through PML
Benjamin Lesage, Frédéric Boniol, Kevin Delmas +3
The emergence of Deep Neural Network (DNN) and machine learning-based applications paved the way for a new generation of hybrid hardware platforms. Hybrid platforms embed several c…