Your browser doesn't support javascript.
loading
Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm.
Moon, SungTae; Lee, Donghun; Lee, Dongoo; Kim, Doyoon; Bang, Hyochoong.
Afiliação
  • Moon S; Aerospace Systems and Control Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Deajon 34141, Korea.
  • Lee D; Korea Aerospace Research Institute (KARI), Deajon 34133, Korea.
  • Lee D; School of Aerospace and Mechanical Engineering, Korea Aerospace University (KAU), Goyang-si 10540, Korea.
  • Kim D; Korea Aerospace Research Institute (KARI), Deajon 34133, Korea.
  • Bang H; Korea Aerospace Research Institute (KARI), Deajon 34133, Korea.
Sensors (Basel) ; 21(4)2021 Feb 10.
Article em En | MEDLINE | ID: mdl-33578768
Recently, drone shows have impressed many people through a convergence of technology and art. However, these demonstrations have limited operating hours based on the battery life. Thus, it is important to minimize the unnecessary transition time between scenes without collision to increase operating time. This paper proposes a fast and energy-efficient scene transition algorithm that minimizes the transition times between scenes. This algorithm reduces the maximum drone movement distance to increase the operating time and exploits a multilayer method to avoid collisions between drones. In addition, a swarming flight system including robust communication and position estimation is presented as a concrete experimental system. The proposed algorithm was verified using the swarming flight system at a drone show performed with 100 drones.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article