Abstract:
This research looks at how to merge two systems, SLAM and UAV. The key difference
is that using the UAV attitude controller provides a constant starting value for the SLAM
system, allowing the direct SLAM approach to converge more quickly and effectively.
The UAV position controller enhances stability by gathering accurate local information
using SLAM. This allows two autonomous systems to help each other. Finally, we devise
relevant experiments to put the technique to the test. The idea is supported by a positive
reaction to the camera's fast rotation. The system consists of a low-cost commercial drone
and a remote-control device that allows the SLAM algorithms to be calculated using a
ROS-based distributed node system (Robot Operating System).
