IPRO 312: Unmanned Aerial Systems
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1 IPRO 312: Unmanned Aerial Systems Kay, Vlad, Akshay, Chris, Andrew, Sebastian, Anurag, Ani, Ivo, Roger Dr. Vural
2 Diverse IPRO Group ECE MMAE BME ARCH CS
3 Outline Background Approach Team Research Integration The Future
4 What is a UAS? Unmanned Aerial System Remotely piloted vehicle Air planes, helicopters, drones etc.
5 Why a UAS? Autonomous Flights Research Remote Sensing Transport Search & Rescue Repetitive/Hazardous Tasks Armed Attacks
6 Our Goal Develop an unmanned aircraft capable of Autonomous flights Real Time Object Recognition
7 Outline Background Approach Team Research Integration The Future
8 Approach - Dividing teams
9 Vision Team Ground Station Team Autopilot Team Team Structure Kay Traylor Aniruddha Katre Ivo Semerdjiev * Christopher Ragsdale Akshay Goliya Andrew Ellickson Anurag Kotha* Chieh Luo Vladimir Semenov Sebastian Bilski * Legal Team Investigating legal implications and guidelines
10 Outline Background Approach Team Research Integration The Future
11 Big Picture
12 Outline Background Approach Team Research Integration The Future Auto Pilot Image Detection Ground Station
13 Auto Pilot - Goals Learn autopilot open-source code Tune to aircraft dynamics Assemble electronics & control hardware Sensor integration and verification
14 Auto Pilot Hardware Assembled Hardware ATmega1280 microprocessor Flash Memory 3-axix gyroscope Accelerometer Magnetometer Pressure sensor (differential & absolute) Temperature sensor Long range ultrasonic range finder GPS receiver Xbee long range radio modem(900 MHz) 72 MHz radio for manual control Testing to assure functionality
15 Auto Pilot- Software Stabilization using 3 axis gyroscope Autonomous landing with controlled rate of descent ( Ultrasound range finder) Autonomous Take off using air temp, pressure sensors and GPS receivers Autonomous waypoint navigation & return to home using 3 axis gyroscope, accelerometer, air speed, altitude sensors, and GPS In-Flight route modification Continuous transmission telemetry info to Ground Station
16
17 Outline Background Approach Team Research Integration The Future Auto Pilot Image Detection Ground Station
18 Image Processing - Goals Install software into Linux Environment Create positive (target) and negative (background) sample images Use haarcascade to develop classifier and train face detect code to detect defined targets Integrate with rest of system
19 Software OpenCV MATLAB Open source library of programming functions aimed at real time computer vision originally developed by Intel Create sample images
20 Creating Sample Images Developed an automatic method to produce several thousand positive and negative samples Tried using OpenCV Developed a program in MATLAB to rotate shapes and overlay those onto backgrounds
21 Haarcascade Use created sample images to train a classifier to detect specified target Issues Segmentation fault Parameter values Pixel size To be done Used trained classifiers in Object Detect
22 Outline Background Approach Team Research Integration The Future Auto Pilot Image Detection Ground Station
23 Ground Station Functions Connects airframe to image processing Connects airframe to control software Update GPS waypoints Sends and receives information to and from airframe Airspeed, Altitude, orientation Acts as human interface to airframe GUI enables human intervention and control
24 Ground Station - Goals Facilitate total system integration Maximize range of receivers & transmitters Maintain constant signal with UAS during flight Develop a graphical user interface for all UAS relevant information Keep costs down while maintaining versatility
25 Ground Station Components
26 Ground Station Progress Completed assembly and programming of antenna tracking system Purchased majority of the components Need to purchase the case and batteries Completed graphical user interface (GUI) development Currently testing hardware and software
27 Outline Background Approach Team Research Integration The Future
28 Integration
29 Outline Background Approach Team Research Integration The Future
30 Future Work Take part in AUVASI Competition Integration of autopilot and image processing into ground station Developing a pre-flight checklist and diagnostic manual Testing & Analysis Approaching sponsors
31 Questions?
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