Autonomous UAV

Project Leader: Joaquin Giorgi

The autonomous UAV project comprises of controlling an AR Drone 2.0 with Robot Operating System (ROS) and computer vision to track specific objects or colors. Data is transmitted through Wi-Fi between the drone and the control station (PC). Currently images captured from the onboard camera are streamed at a stable frequency to the ground control station, received by a computer vision node to implement the tracking capabilities, by locating the relative location of the target. A control loop – possibly PID – will be applied to smoothen the tracking process.