Advanced collision risk estimation in terminal manoeuvring areas using a disentangled variational autoencoder for uncertainty quantification-Reference-Cited by-同舟云学术

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Advanced collision risk estimation in terminal manoeuvring areas using a disentangled variational autoencoder for uncertainty quantification

Published:2024-07 Issue: Volume:133 Page:108137
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Krauth Timothé^ORCID,Morio Jérôme^ORCID,Olive Xavier,Figuet Benoit^ORCID

Funder

Bundesamt für Zivilluftfahrt

Publisher

Elsevier BV

Reference39 articles.

1. A collision risk model for a crossing track separation methodology;Anderson;J. Navig.,1996

2. Estimation of small failure probabilities in high dimensions by subset simulation;Au;Probab. Eng. Mech.,2001

3. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;Bai,2018

4. Representation learning: A review and new perspectives;Bengio;IEEE Trans. Pattern Anal. Mach. Intell.,2013

5. Safety risk assessment by Monte Carlo simulation of complex safety critical operations;Blom,2006

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. Generating Synthetic Flight Tracks for Collision Risk Safety Analysis: Variational Autoencoders with a Single Seed Track;2024 Integrated Communications, Navigation and Surveillance Conference (ICNS);2024-04-23

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