Moon SungTae, Lee Donghun, Lee Dongoo, Kim Doyoon, Bang Hyochoong
Aerospace Systems and Control Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Deajon 34141, Korea.
Korea Aerospace Research Institute (KARI), Deajon 34133, Korea.
Sensors (Basel). 2021 Feb 10;21(4):1260. doi: 10.3390/s21041260.
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.
最近，无人机表演通过技术与艺术的融合给许多人留下了深刻印象。然而，基于电池续航时间，这些表演的运行时长有限。因此，在无碰撞的情况下尽量减少场景之间不必要的过渡时间以增加运行时间很重要。本文提出了一种快速且节能的场景过渡算法，该算法可将场景之间的过渡时间减至最少。此算法通过缩短无人机的最大移动距离来增加运行时间，并采用多层方法避免无人机之间发生碰撞。此外，还展示了一个包括可靠通信和位置估计的群体飞行系统作为具体的实验系统。所提出的算法在一场由100架无人机进行的无人机表演中通过群体飞行系统得到了验证。
