@article{MC27EB989,
title = "Model-Based Intelligent Framework Interface for UAV Autonomous Mission",
journal = "The Transactions of the Korea Information Processing Society",
year = "2024",
issn = "null",
doi = "https://doi.org/10.3745/TKIPS.2024.13.3.111",
author = "Son Gun Joon, Lee Jaeho",
keywords = "Intelligent Framework, Drone Autonomy, Interface, Interoperability",
abstract = "Recently, thanks to the development of artificial intelligence technologies such as image recognition, research on unmanned aerial 
vehicles is being actively conducted. In particular, related research is increasing in the field of military drones, which costs a lot to foster 
professional pilot personnel, and one of them is the study of an intelligent framework for autonomous mission performance of 
reconnaissance drones. In this study, we tried to design an intelligent framework for unmanned aerial vehicles using the methodology 
of designing an intelligent framework for service robots. For the autonomous mission performance of unmanned aerial vehicles, the 
intelligent framework and unmanned aerial vehicle module must be smoothly linked. However, it was difficult to provide interworking 
for drones using periodic message protocols with model-based interfaces of intelligent frameworks for existing service robots. First, the 
message model lacked expressive power for periodic message protocols, followed by the problem that interoperability of asynchronous 
data exchange methods of periodic message protocols and intelligent frameworks was not provided. To solve this problem, this paper 
proposes a message model extension method for message periodic description to secure the model's expressive power for the periodic 
message model, and proposes periodic and asynchronous data exchange methods using the extended model to provide interoperability 
of different data exchange methods."
}