Towards the certification of vision based systems: modular architecture for airport line detection - Université Toulouse 1 Capitole Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Towards the certification of vision based systems: modular architecture for airport line detection

Résumé

This paper addresses the certification issues for vision based systems embedded on civil aircraft to assist pilots during the ground navigation phase. We propose a design methodology, through the example of a modular architecture to detect ground mark lines in a color image. Our detection method is based on the combination of classical image processing algorithms, deep learning methods and a particle filter algorithm. We argue that the main interest of this architecture is to ease the certification problem when compared to an end-to-end neural network. We discuss about difficulties around certification and propose some arguments.
Fichier principal
Vignette du fichier
ERTS_2022_Final_V08.pdf (2.7 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03717993 , version 1 (08-07-2022)

Identifiants

  • HAL Id : hal-03717993 , version 1

Citer

Esteban Perrotin, Matthieu Roy, Ariane Herbulot, Michel Devy, Fabrice Bousquet. Towards the certification of vision based systems: modular architecture for airport line detection. 11th European Congress on Embedded Real-Time Systems, Jun 2022, Toulouse, France. ⟨hal-03717993⟩
69 Consultations
39 Téléchargements

Partager

Gmail Facebook X LinkedIn More