Fabio Arnez

According to our database, Fabio Arnez authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Deep neural network uncertainty runtime monitoring for robust and safe AI-based automated navigation. (Surveillance du temps d'exécution de l'incertitude du réseau neuronal profond pour une navigation automatisée robuste et sûre basée sur l'IA).

Fabio Arnez

PhD thesis, 2023

Towards an Ontological Methodology for Dynamic Dependability Management of Unmanned Aerial Vehicles.

Guillaume Ollier, Fabio Arnez, Morayo Adedjouma, Raphaël Lallement, Simos Gerasimou, Chokri Mraidha

Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, 2023

Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty.

Fabio Arnez, Ansgar Radermacher, François Terrier

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming.

Dennis Casazola, Fabio Arnez, Huáscar Espinoza

CoRR, 2022

Quantifying and Using System Uncertainty in UAV Navigation.

Fabio Arnez, Ansgar Radermacher, Huáscar Espinoza

CoRR, 2022

Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components.

Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier

Proceedings of the 18th European Dependable Computing Conference, 2022

Skeptical Dynamic Dependability Management for Automated Systems.

Fabio Arnez, Guillaume Ollier, Ansgar Radermacher, Morayo Adedjouma, Simos Gerasimou, Chokri Mraidha, François Terrier

Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021

Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty.

Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops, 2021

2020

A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications.

Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020