Model-Based Intelligent Framework Interface for UAV Autonomous Mission 


Vol. 13,  No. 3, pp. 111-121, Mar.  2024
https://doi.org/10.3745/TKIPS.2024.13.3.111


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  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.

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[IEEE Style]

S. G. Joon and L. Jaeho, "Model-Based Intelligent Framework Interface for UAV Autonomous Mission," The Transactions of the Korea Information Processing Society, vol. 13, no. 3, pp. 111-121, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.3.111.

[ACM Style]

Son Gun Joon and Lee Jaeho. 2024. Model-Based Intelligent Framework Interface for UAV Autonomous Mission. The Transactions of the Korea Information Processing Society, 13, 3, (2024), 111-121. DOI: https://doi.org/10.3745/TKIPS.2024.13.3.111.

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