project members: yuri bakulin maxim kirilov yuval kovler
Post on 24-Feb-2016
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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.
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