Annual Conference of KIPS (한국정보처리학회:학술대회논문집)

  • 2017.11a
  • /
  • Pages.134-137
  • /
  • 2017
  • /
  • 2005-0011(pISSN)
  • /
  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Visual-GPS combined Drone Follow-me Selfie Drone

영상과 GPS 정보를 결합한 Follow-me Selfie 드론

  • Tuan, Do T. (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Ahn, Heejune (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology)
  • 도 딴 뚜안 (서울과학기술대학교 정보통신대학 전기정보공학과) ;
  • 안희준 (서울과학기술대학교 정보통신대학 전기정보공학과)
  • Published : 2017.11.01
Download PDF
⟨ Previous Next ⟩

Abstract

Follow-me function of drones is new and attractive for selfie drone users, where the drone autonomously follows and capture the user. Currently the products use the difference between GPS's in the drone and user side mobile GCS, but the targeting accuracy is not satisfactory owing to the low accuracy of GPS data, often the order of ten meters. We designed a new follow-me mode algorithm that utilizes the accuracy of visual tracking algorithm and the reliability of GPS-based. The experiment shows that proposed follow-me can capture much accurately the target user in the center of video content than GPS-only methods, and recover the vision algorithm failure quickly in 5-10 seconds.

Keywords