IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
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Implementation and Verification of Artificial Intelligence Drone Delivery System

인공지능 드론 배송 시스템의 구현 및 검증

  • Received : 2023.09.18
  • Accepted : 2023.11.15
  • Published : 2024.02.28
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Abstract

In this paper, we propose the implementation of a drone delivery system using artificial intelligence in a situation where the use of drones is rapidly increasing and human errors are occurring. This system requires the implementation of an accurate control algorithm, assuming that last-mile delivery is delivered to the apartment veranda. To recognize the delivery location, a recognition system using the YOLO algorithm was implemented, and a delivery system was installed on the drone to measure the distance to the object and increase the delivery distance to ensure stable delivery even at long distances. As a result of the experiment, it was confirmed that the recognition system recognized the marker with a match rate of more than 60% at a distance of less than 10m while the drone hovered stably. In addition, the drone carrying a 500g package was able to withstand the torque applied as the rail lengthened, extending to 1.5m and then stably placing the package down on the veranda at the end of the rail.

Keywords

Acknowledgement

본 논문은 대한민국 공군 국고연구과제 (24-A1)의 지원을 받아 수행된 연구결과임.

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