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Challenges in the Certification of Computer Vision-Based Systems for Civil Aeronautics

Auteurs

F. Boniol, A. Chan-Hon-Tong, A. Eudes, S. Herbin, G. Le Besnerais, C. Pagetti, M. Sanfourche (ONERA)

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AL15-06_0.pdf (1.82 MB)

Computer vision techniques have made considerable progress in recent years. This advance now makes possible the practical use of computer vision in civil drones or aircraft, replacing human pilots. The question that naturally arises is then to provide a way to certify those types of systems at a given level of safety. The aim of the article is, firstly, to understand the gap between today’s computer vision systems and the current certification standards; secondly, to identify the key activities that must be fulfilled in order to make computer-vision systems certifiable and, thirdly, to explore some recent works related to these key activities.

Aerospace Lab is an electronic journal dedicated to scientific progress in aeronautics and space research. Its featured technical fields therefore include aerodynamics, propulsion, materials, structures, physics, sensors, information processing, and system engineering.

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