Project Members: Yuri Bakulin

Maxim KirilovYuval Kovler

Academic Advisor : Prof. Yuval EloviciTechnical Advisor : Rami Puzis

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

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.

System Architecture/Dataflow

State Commands

Video Stream & Sensors data

System Diagram

Image Processing

AbstractDirection

Video Demo

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

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.