To integrate the drone detection system with autonomous navigation and collision avoidance algorithms for fully autonomous drone operations, the authors can explore several avenues. Firstly, incorporating the detected drone positions and trajectories into a path planning algorithm can enable the drone to navigate safely in dynamic environments. By integrating real-time feedback from the detection system with the navigation controller, the drone can adjust its flight path to avoid collisions with other drones or obstacles. Additionally, leveraging the real-time processing capabilities of the edge device, the authors can implement a closed-loop system where the drone detection system continuously feeds information to the navigation algorithm, ensuring proactive collision avoidance and efficient path planning. By establishing seamless communication and synchronization between the detection system and the autonomous navigation module, the drone can operate autonomously in complex environments while ensuring safety and efficiency.