1 / 1

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.

siran
Download Presentation

AR Drone Luke Walsh, Jack Hammons, Mike Aspatore Instructors:

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 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.

More Related