Certified ML Object Detection for Surveillance Missions - ERTS2024 - Proceeding of the 12th European Congress on Embedded Real Time Systems
Conference Papers Year : 2024

Certified ML Object Detection for Surveillance Missions

Abstract

In this paper, we present a development process of a drone detection system involving a machine learning object detection component. The purpose is to reach acceptable performance objectives and provide sufficient evidences, required by the recommendations (soon to be published) of the ED 324 / ARP 6983 standard, to gain confidence in the dependability of the designed system.
Fichier principal
Vignette du fichier
main.pdf (855.97 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04614600 , version 1 (17-06-2024)

Identifiers

  • HAL Id : hal-04614600 , version 1

Cite

Mohammed Belcaid, Eric Bonnafous, Louis Crison, Christophe Faure, Eric Jenn, et al.. Certified ML Object Detection for Surveillance Missions. 12th European Congress on Embedded Real Time Software and Systems, Jun 2024, Toulouse, France. ⟨hal-04614600⟩
141 View
44 Download

Share

More