Data-Centric Operational Design Domain Characterization for Machine Learning-Based Aeronautical Products-Reference-Cited by-同舟云学术

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Data-Centric Operational Design Domain Characterization for Machine Learning-Based Aeronautical Products

Published:2023 Issue: Volume: Page:227-242
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Kaakai Fateh,Adibhatla Sridhar,Pai Ganesh^ORCID,Escorihuela Emmanuelle

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-40923-3_17

Reference18 articles.

1. BSI Standards Ltd.: Operational Design Domain (ODD) Taxonomy for an Automated Driving System (ADS) - Specification. BSI PAS 1883:2020, August 2020

2. Lecture Notes in Computer Science;M Damour,2021

3. Denney, E., Pai, G., Smith, C.: Hazard contribution modes of machine learning components. In: Espinoza, H., et al. (eds.) Proceedings of the AAAI Workshop on Artificial Intelligence Safety (SafeAI). AAAI, CEUR Workshop Proceedings (2020)

4. EUROCONTROL: COAST (Calibration of Optimised Approach Spacing Tool) with Use of Machine Learning Models. White Paper V1.1, April 2021

5. EASA: First Usable Guidance for Level 1 Machine Learning Applications. EASA Concept Paper Issue 01 (December 2021)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assurance-driven Design of Machine Learning-based Functionality in an Aviation Systems Context;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01

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