Feasibility of Conflict Prediction of Drone Trajectories by Means of Machine Learning Techniques

Feasibility of Conflict Prediction of Drone Trajectories by Means of Machine Learning Techniques

The expected number of drone operations in the coming decades, together with the fact that most of them will take place in very-low-level airspace, will lead to a density of drone flights much greater than that of conventional manned aviation. In this context, the number of conflicts (i.e., 4D conve...

Full description

Saved in:
Bibliographic Details
Main Authors: Victor Gordo, Javier A. Perez-Castan, Luis Perez Sanz, Lidia Serrano-Mira, Yan Xu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Aerospace
Subjects:
UAS
drone
conflict
machine learning
classification
congested
Online Access:https://www.mdpi.com/2226-4310/11/12/1044
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2226-4310/11/12/1044

Similar Items