ar drone hemanth chenchu , fangda li, michael aspatore, maxwell dapper
DESCRIPTION
AR Drone Hemanth Chenchu , Fangda Li, Michael Aspatore, Maxwell Dapper Akshay Naik , Nicholas Quimby , Francisco Silva, Ishaan Kohli Instructors: Prof. Charles Bouman , Prof . Samuel Midkiff. Goal : Command the drone to complete various image processing based tasks using LabView. - PowerPoint PPT PresentationTRANSCRIPT
AR DroneHemanth Chenchu, Fangda Li, Michael Aspatore, Maxwell Dapper
Akshay Naik, Nicholas Quimby, Francisco Silva, Ishaan KohliInstructors:
Prof. Charles Bouman, Prof. Samuel Midkiff
• 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 use Labview 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.
Project Background
The Labview toolkit allows flexible control of the AR Drone
Labview enables us to use any input method to control the drone
Xbox controller Joystick Autonomous Navigation
OpenCV realizes more complicated tracking pattern based on color, shape, face, multi-object etc.
Labview Toolkit / OpenCV
• Moved to LabView 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 in a 3-D space.
• Pre-programmed path for the drone using GPS tracker was partially achieved.
• OpenCV Color and shape tracking with optimization.• Working on certain animation using Labview.
Progress
Application for flight control using joystick or autonomous flight.
Goal : Command the drone to complete various image processing based tasks using LabView
Future goals• Use GPS to connect to the drone from long distances
for remote flying.• Get the drone to track faces using openCV facial
recognition libraries.• Explore ways of getting the drone to recognize multiple
objects.• Use OpenCV to process object recognition and
LabView to command the drone simultaneously
A.R. Drone Linux
LabView
Via Wi-Fi
OpenCV
OSX