In recent years, the deployment of unmanned aerial vehicles (UAVs), particularly drone swarms, has gained attention due to their applications in military operations, agriculture, public safety, and disaster management. While its benefits are evident, controlling multiple UAVs by a single operator remains a complex challenge. Those existing control methods for swarms can fall short in uncontrolled environments. This proposal addresses the problem by introducing a novel approach that tracks hand movements in space by a 3D-LiDAR, allowing the operator to intuitively steer the drone. This approach leverages the depth-information from the laser to determine the relative change of the hand movement at an update frequency of 20Hz. The derived flight controls are then sent to the testing drone (DJI Tello). The proposed system promises to enhance the resilience and intuitiveness of UAV control, allowing for broader usage of unmanned aerial vehicles in those and other applications.
