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Improved Drone Delivery System Through User Authentication and Mission Automation Using EdgeCPS

EdgeCPS를 활용한 사용자 인증 및 임무 자동화를 통한 드론 배송 시스템 개선

  • Received : 2023.06.30
  • Accepted : 2023.08.14
  • Published : 2023.08.31

Abstract

Currently, various companies are actively participating in research and development of drone delivery services. Existing studies do not comprehensively provide integrated functions for future drone delivery services such as mission automation, customer verification, and overcoming performance limitations, which can lead to high manpower demand, reduced user service trust, and potentially overloading low-end devices. Therefore, this study proposes a drone mission automation system (DMAS) using EdgeCPS technology to provide the three aforementioned functions in an integrated manner. Real-world experiments were conducted to evaluate the proposed system, demonstrating that the DMAS components operate according to the specified roles in the delivery scenario. In addition, the system achieved user verification with a similarity of more than 90% in the process of receiving the product, and verified a faster inference speed and a lower resource share than the existing method.

Keywords

Acknowledgement

본 논문은 한국전자통신연구원 연구운영비지원사업의 일환으로 수행되었음. [23ZS1300, 인공지능 처리성능 한계를 극복하는 고성능 컴퓨팅 기술 연구]

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