Machine Learning Based Visual Navigation System Architecture for Aam Operations with A Discussion on its Certifiability

Naiara Escudero, Pablo Costas, Michael W. Hardt, Gokhan Inalhan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Advanced Air Mobility (AAM) is expected to revolutionize the future of general transportation expanding the conventional notion of air traffic to include several services carried out by autonomous aerial platforms. However, the significant challenges associated with such complex scenarios require the introduction of sophisticated technologies able to deliver the resilience, robustness, and accuracy needed to achieve safe, autonomous operations [39]. In this context, solutions based on Artificial Intelligence (AI), able to overcome some limitations found in traditional approaches, are becoming a major opportunity for the aviation industry, but, at the same time, a significant challenge with respect to the certification standards.With the focal point on further proposing a certifiable architecture for AI-enhanced vision navigation in AAM operations, this paper first, summarizes the current technologies and fusion methods applied to date to navigation purposes, to later address the certification problem. Regarding certification, it explores three specific points: 1) traditional certification procedures; 2) current status of AI homologation recommendations; and 3) other certification factors to be considered for future discussion.

Original languageEnglish
Title of host publication2022 Integrated Communication, Navigation and Surveillance Conference, ICNS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665484190
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 Integrated Communication, Navigation and Surveillance Conference, ICNS 2022 - Dulles, United States
Duration: 5 Apr 20227 Apr 2022

Publication series

NameIntegrated Communications, Navigation and Surveillance Conference, ICNS
Volume2022-April
ISSN (Print)2155-4943
ISSN (Electronic)2155-4951

Conference

Conference2022 Integrated Communication, Navigation and Surveillance Conference, ICNS 2022
Country/TerritoryUnited States
CityDulles
Period5/04/227/04/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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