Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning
Safety is the primary concern when it comes to air traffic. In-flight safety between Unmanned Aircraft Vehicles (UAVs) is ensured through pairwise separation minima, utilizing conflict detection and resolution methods. Existing methods mainly deal with pairwise conflicts, however, due to an expected...
Main Authors: | Ralvi Isufaj, Marsel Omeri, Miquel Angel Piera |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/2/610 |
Similar Items
-
Quantifying Well Clear for Autonomous Small UAS
by: Marsel Omeri, et al.
Published: (2022-01-01) -
Cellular and Virtualization Technologies for UAVs: An Experimental Perspective
by: Victor Sanchez-Aguero, et al.
Published: (2021-04-01) -
Integration of Unmanned Aircraft Systems into the National Airspace System-Efforts by the University of Alaska to Support the FAA/NASA UAS Traffic Management Program
by: Michael Hatfield, et al.
Published: (2020-09-01) -
Threat Management Methodology for Unmanned Aerial Systems Operating in the U-Space
by: Carlos Capitan, et al.
Published: (2022-01-01) -
Unmanned Aerial Traffic Management System Architecture for U-Space In-Flight Services
by: Carlos Capitán, et al.
Published: (2021-04-01)