• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.312-314
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• 2021

The government sees drones as a key future growth engine, prepares plans to foster the nation-led drone industry, conducts pilot projects in various fields, such as transporting goods, forest protection, monitoring, facility safety diagnosis, and is actively in the use of drones. In particular, the police are attempting to use drones to search for missing people. However, existing drones have a short operating time due to the limitation of battery time. The effectiveness of the existing drones is insufficient because it has no choice but to search by aerial photography on the mountain tops in hillside or dense forest. In this study, we propose an FPV drone that utilizes virtual reality as a drone that can overcome the limitations of searching for missing people.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.349-357
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• 2021

Recently, drones are rapidly becoming common and expanding. There is a great need for diversity in whether drone flight data can be used as entertainment technology analysis data. In particular, it is necessary to check whether it is possible to analyze and utilize the flight and operation process of entertainment drones, which are developing through autonomous and intelligent methods, through data analysis and machine learning. In this paper, it was confirmed whether it can be used as a machine learning technology by using FC data in the evaluation of drones for entertainment. As a result, FC data from DJI and Parrot such as Mavic2 and Anafi were unable to analyze machine learning for entertainment. It is because data is collected at intervals of 0.1 second or more, so that it is impossible to find correlation with other data with GCS. On the other hand, it was found that machine learning technologies can be applied in the case of Fixhawk, which used an ARM processor and operates with the Nuttx OS. In the future, it is necessary to develop technologies capable of analyzing the characteristics of entertainment by dividing fixed-wing and rotary-wing flight information. For this, a model shoud be developed, and systematic big data collection and research should be conducted.