Matlab code and trajectory data supporting: Eerland, Willem, Box, Simon and Sobester, Andras (2016) Modelling the dispersion of aircraft trajectories using Gaussian processes. Journal of Guidance Control and Dynamics.</span
Teetool is a Python package which models and visualises motion patterns found in two- and three-dime...
All the codes that are needed for reproducing the results represented in our paper, "Constrained Lin...
This is MATLAB code associated with the experiments conducted in the following (accepted and in proc...
This work investigates the application of Gaussian processes to capturing the probability distributi...
Several initiatives are developed to shift the current paradigm in Air Traffic Management from the t...
Several initiatives are being developed to shift the current paradigm in Air Traffic Management (ATM...
A multi-scale hierarchical dataset comprised of Gaussian processes. For more information regarding t...
Dans cette thèse, nous proposons de construire de meilleurs modèles Processus Gaussiens (GPs) en int...
The Bayesian network encounter models are a collection of MATLAB scripts that produce random samples...
Contains fulltext : 205110.pdf (publisher's version ) (Open Access)Radboud Univers...
Nejednakost potražnje i raspoloživih kapaciteta zračnog prostora u zračnom prometu dovodi do potrebe...
Worldwide, Air Navigation Service Providers (ANSP) are striving to exceed the desired safety levels....
For calculating the GLOWOPT representative route network, a forecast model chain was used. The model...
Take-off and landing are the periods of a flight where aircraft are most vulnerable to a ground base...
Teetool is a Python package which models and visualises motion patterns found in two- and three-dime...
Teetool is a Python package which models and visualises motion patterns found in two- and three-dime...
All the codes that are needed for reproducing the results represented in our paper, "Constrained Lin...
This is MATLAB code associated with the experiments conducted in the following (accepted and in proc...
This work investigates the application of Gaussian processes to capturing the probability distributi...
Several initiatives are developed to shift the current paradigm in Air Traffic Management from the t...
Several initiatives are being developed to shift the current paradigm in Air Traffic Management (ATM...
A multi-scale hierarchical dataset comprised of Gaussian processes. For more information regarding t...
Dans cette thèse, nous proposons de construire de meilleurs modèles Processus Gaussiens (GPs) en int...
The Bayesian network encounter models are a collection of MATLAB scripts that produce random samples...
Contains fulltext : 205110.pdf (publisher's version ) (Open Access)Radboud Univers...
Nejednakost potražnje i raspoloživih kapaciteta zračnog prostora u zračnom prometu dovodi do potrebe...
Worldwide, Air Navigation Service Providers (ANSP) are striving to exceed the desired safety levels....
For calculating the GLOWOPT representative route network, a forecast model chain was used. The model...
Take-off and landing are the periods of a flight where aircraft are most vulnerable to a ground base...
Teetool is a Python package which models and visualises motion patterns found in two- and three-dime...
Teetool is a Python package which models and visualises motion patterns found in two- and three-dime...
All the codes that are needed for reproducing the results represented in our paper, "Constrained Lin...
This is MATLAB code associated with the experiments conducted in the following (accepted and in proc...
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