1. Project Members: Yuri Bakulin Maxim Kirilov Yuval Kovler Academic Advisor : Prof. Yuval Elovici Technical Advisor : Rami Puzis

2. Background AR Drone A flying quadrotor helicopter controlled via Wi-Fi. The device features a number of sensors, including a front camera, a vertical camera and an ultrasound altimeter. Bottom Camera Front Camera Ultrasound altimeter

3. Project’s Goal Visual-based autonomous navigation: Develop a system that will enable the AR Drone to fly autonomously. How do we do it ? Processing real-time video that is received from the AR Drone cameras to recognize a predefined route and predefined checkpoints.

4. System Architecture/Dataflow State Commands Video Stream & Sensors data System Diagram Image Processing Abstract Direction

5. Video Demo Demo of the AR Drone following a red line that is located on the floor:

6. Conclusions It is much harder than we expected in the beginning especially because of the non deterministic nature of robotics and working in a 3D environment. It is achievable but still needs research to make it perfect. It is Fun.