SungTae Moon  Jihoon Jeon  Yongwoo Kim

10.5626/JOK.2022.49.9.715

swarm flight system real-time object detection pruning

With the recent development in drone technology, drones are being used in numerous industries such as cultural performances, logistics delivery, and traffic monitoring. In particular, as drones are used in reconnaissance fields such as the search for missing people and intruder detection, efficient mission performance has become possible. For effective reconnaissance, it is necessary to quickly monitor a large area and find a target in real-time. However, the current system cannot obtain real-time reconnaissance results because it is difficult to process inside the drone due to its performance limitations. In addition, it is difficult to conduct integrated commands and share information because it is judged based on the images obtained individually from the drone. This paper proposes a pruning algorithm and active swarm reconnaissance system for object detection based on stitched drone images. Using four drones, the proposed system verifies the real-time object detection and swarm operation system.