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Project Members: Yuri Bakulin Maxim Kirilov Yuval Kovler

Academic Advisor : Prof. Yuval Elovici Technical Advisor : Rami Puzis. A.R Drone Autopilot Navigation . Project Members: Yuri Bakulin Maxim Kirilov Yuval Kovler. Background.

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Project Members: Yuri Bakulin Maxim Kirilov Yuval Kovler

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  1. Academic Advisor : Prof. Yuval Elovici Technical Advisor : Rami Puzis A.R Drone Autopilot Navigation Project Members: Yuri Bakulin Maxim Kirilov Yuval Kovler

  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. Front Camera Bottom Camera Ultrasound altimeter 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.

  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 Dronecameras to recognize a predefined route and predefined checkpoints.

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

  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.

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