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AR Drone Luke Walsh, Jack Hammons, Mike Aspatore Instructors: Prof. Charles Bouman , Prof . Samuel Midkiff. Goal : Command the drone to complete various image processing based tasks using LabView. Labview Toolkit.

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Ar drone luke walsh jack hammons mike aspatore instructors

AR Drone

Luke Walsh,

Jack Hammons, Mike Aspatore

Instructors:

Prof. Charles Bouman, Prof. Samuel Midkiff

  • Goal : Command the drone to complete various image processing based tasks using LabView

Labview Toolkit

Application for flight control using joystick or autonomous flight.

  • The Labview toolkit allows flexible control of the AR Drone

  • There are Labview wrappers for open CV which allow precise image processing in flight

  • Labview enables us to use any input method to control the drone

    • Xbox controller

    • Joystick

    • Autonomous Navigation

A.R. Drone Linux

Joystick

ProjectBackground

Via

Wi-Fi

  • AR Drone is French made robotic flying product that can be controlled by Iphone/Ipad via a wifi connection.

  • By using open source software, we can fly the AR Drone with a joystick.

  • We useLabview as new programming platform instead of using C programming.

  • We have been able to get the drone to track a ball using Labview.

  • Up until now, the project has been using Gostai, but the software is to expensive to purchase.

  • AR Drone will be also capable of identifying different objects such as faces using OpenCV libraries.

LabView

OSX

Progress

  • Moved toLabView and the OpenCV platform instead of C programming for the robotic control.

  • Created a basic flying platform with image processing to track a red object on one axis.

  • Added a second axis for the drone to track the object.

  • Fine tuned the algorithm to get rid of “jerky” motions in the drone while tracking.

Future goals

  • Use a 3G/4G network to connect to the drone from long distances.

  • Get the drone to track an object in more than one axis.

  • Get the drone to track faces using openCV facial recognition libraries.

  • Explore ways of getting the drone to recognize multiple objects.