Accession Number ADA567502
Title Integration of Multiple UAVs for Collaborative ISR Missions in an Urban Environment.
Publication Date Sep 2012
Media Count 117p
Personal Author C. N. Chua
Abstract Military conflicts are shifting from jungles and deserts to cities. This is because terrorists, insurgents, and guerrillas find that these areas provide a rich target environment and good hideouts. With the use of UAVs, urban threats can be effectively tracked and targeted. However, in urban environments where there is little or no GPS signal and many obstacles, navigation of UAVs is a major challenge. Multiple UAVs can be employed to share sensor information to counter these challenges and to perform Intelligence, Surveillance, and Reconnaissance (ISR) missions with greater ground coverage and better success rates. This thesis explores the various types of UAVs deployed for urban operations, and investigates trends in the design of such UAVs in terms of their weight, altitude, speed, and sensor suite. The thesis discusses the challenges and requirements for interoperability of multi-UAVs in urban environments, and proposes a direct-method-based control system for multiple UAV collaboration and obstacle collision avoidance. A dynamic model was developed for the simulation testing of the control system algorithm, which was followed by a physical experiment in an indoor environment using Quanser QBall-X4 UAVs to evaluate the results. Results show that the UAVs were able to share and integrate their sensors' information for joint cooperation.
Keywords Aerial reconnaissance
Altitude
Automation
Autonomous navigation
Collision avoidance
Collision-free trajectories
Computerized simulation
Control systems
Cooperation
Direct method
Drones
Idvd(Inverse dynamics in virtual domain)
Intelligence
Interoperability
Laboratory tests
Multi-uav operations
Multiple uav operations
Multisensors
Optimization
Quadrotor aircraft
Quadrotor dynamics
Quasi-optimal trajectories
Real time
Scenarios
Sensor fusion
Surveillance
Systems engineering
Theses
Trajectories
Trajectory following
Trajectory generation
Trajectory optimization
Uav collaboration
Uav(Unmanned aerial vehicles)
Urban warfare
Velocity
Weight


 
Source Agency Non Paid ADAS
NTIS Subject Category 51C - Aircraft
74F - Military Intelligence
74G - Military Operations, Strategy, & Tactics
76D - Navigation Systems
Corporate Author Naval Postgraduate School, Monterey, CA. Dept. of Systems Engineering.
Document Type Thesis
Title Note Master's thesis.
NTIS Issue Number 1309
Contract Number N/A

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