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Artificial Intelligence in Unmanned Aerial Vehicles (UAV)

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1 Artificial Intelligence in Unmanned Aerial Vehicles (UAV)
Andrew Sawchuk

2 History of the UAV 1915: Nikola Tesla describes a fleet of unmanned aerial combat vehicles 1916: First powered unmanned aerial vehicle was A. M. Low's "Aerial Target" : Several more attempts were made at unmanned aerial vehicles, particularly during the technology rush of World War II 1951: First jet-powered unmanned aerial vehicle, the Teledyne Ryan Firebee I was unveiled

3 More UAV History 1959: The United States Air Force launches its UAV development program, named Red Wagon Up to this point, UAVs were basically just remote-controlled aircraft 1980s: Israel develops the first "modern UAV", pioneering the use of UAVs for real-time surveillance, electronic warfare and decoys 1986: AAI Corporation introduces the AAI Pioneer UAV (seen on right), which is purchased and used by the Department of Defense, and later used for surveillance during the Gulf War in 1991

4 UAVs In Use Today In 2008, the United States Air Force employed 5,331 UAVs, twice the number of manned planes In February 2013, over 50 countries are reported to have UAVs in use USAF today employs both General Atomics MQ-1 Predators (left), and Northrop Grumman RQ-1 Global Hawks (right) Predators carried out over 2,000 missions (including 242 raids) in alone Global Hawks are used for recon, but operate nearly completely autonomously, and are capable of surveying 40,000 square miles in a single 28-hour session before returning to base

5 UAV Types and Uses Commercial Civilian Government Military
Remote sensing - measure radiation, chemicals, etc. Natural resource exploration - minerals, oils, etc. Surveillance Civilian Government Search and rescue Forest fire detection Scientific research - hurricanes (NOAA), extreme climates Domestic policing Military Transport - food, supplies, etc. Armed attacks

6 AUVSI Unmanned Aerial Systems Competition
Association for Unmanned Vehicle Systems International (AUVSI) 2,200 companies 55 countries World's largest non-profit organization for the advancement of autonomous systems community Annual competition includes autonomous flight, navigation of a specified course and use of onboard payload sensors ~30 teams from around the world Entrants must autonomously: Take-off Fly a set of GPS waypoints Gather and relay information on a set of targets on the ground during the flight Land A E M B

7 AI Modules in a Complete UAV System

8 Fuzzy Logic Form of many-valued logic
Used more for approximate reasoning, rather than exact reasoning Instead of variables that are either true or false, they take on a decimal truth value, ranging from 0 to 1 Different actions (of varying severity) may be taken based on how true a given value is

9 Fuzzy Flight Controller
AI that makes use of sensors and actuators Flight Plan Sensors Actuators Accelerometer Elevator Fuzzy Logic Flight Controller Altimeter Rudder Compass Throttle GPS Receiver Ailerons

10 Conclusion Completely autonomous UAV systems are conglomerations of many different AI subsystems Development in the field of UAV systems is expanding rapidly UAV systems are extremely useful for performing dangerous tasks

11 References Unmanned Aerial Vehicle
AAI RQ-2 Pioneer General Atomics MQ-1 Predator Northrop Grumman RQ-4 Global Hawk AUVSI Unmanned Air Systems Competition Application of Artificial Intelligence Techniques in Uninhabited Aerial Vehicle Flight Artificial intelligence methodologies applicable to support the decision-making capability on board Unmanned Aerial Vehicles Fuzzy Logic Cornell University Unmanned Air Systems


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