Now showing items 1-20 of 118

    • Adaptive Flight Control for an Autonomous Unmanned Helicopter 

      Johnson, Eric N.; Kannan, Suresh K. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, 2002-08)
      For autonomous helicopter flight, it is common to separate the flight control problem into an innerloop that controls attitude and an outerloop that controls the trajectory of the helicopter. The outerloop generates ...
    • Development of an Autonomous Aerial Reconnaissance System at Georgia Tech 

      Proctor, Alison A.; Kannan, Suresh K.; Raabe, Chris; Christophersen, Henrik B.; Johnson, Eric N. (Georgia Institute of Technology, 2003-07)
      The Georgia Tech aerial robotics team has developed a system to compete in the International Aerial Robotics Competition, organized by the Association for Unmanned Vehicle Systems, International. The team is a multi-disciplinary ...
    • Vision-Only Aircraft Flight Control 

      De Wagter, Christophe; Proctor, Alison A.; Johnson, Eric N. (Georgia Institute of Technology, 2003-10)
      Building aircraft with navigation and control systems that can complete flight tasks is complex, and often involves integrating information from multiple sensors to estimate the state of the vehicle. This paper describes ...
    • System Integration and Operation of a Research Unmanned Aerial Vehicle 

      Johnson, Eric N.; Schrage, Daniel P. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, 2004-01)
      The use of flight simulation tools to reduce the schedule, risk, and required amount of flight-testing for complex aerospace systems is a well-recognized benefit of these approaches. However, some special challenges arise ...
    • Small Adaptive Flight Control Systems for UAVs Using FPGA/DSP Technology 

      Christophersen, Henrik B.; Pickell, Wayne J.; Koller, Adrian A.; Kannan, Suresh K.; Johnson, Eric N. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2004-09)
      Future small UAVs will require enhanced capabilities like seeing and avoiding obstacles, tolerating unpredicted flight conditions, interfacing with payload sensors, tracking moving targets, and cooperating with other ...
    • Approaches to Vision-Based Formation Control 

      Johnson, Eric N.; Calise, Anthony J.; Sattigeri, Ramachandra J.; Watanabe, Yoko; Madyastha, Venkatesh (Georgia Institute of TechnologyIEEE, 2004-12)
      This paper implements several methods for performing vision-based formation flight control of multiple aircraft in the presence of obstacles. No information is communicated between aircraft, and only passive 2-D ...
    • Adaptive Trajectory Control for Autonomous Helicopters 

      Johnson, Eric N.; Kannan, Suresh K. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2005)
      For autonomous helicopter flight, it is common to separate the flight control problem into an inner loop that controls attitude and an outer loop that controls the translational trajectory of the helicopter. In previous ...
    • Design and Development of a Low-Cost Test-Bed for Undergraduate Education in UAVs 

      Jung, Dongwon; Jevy, E. J.; Zhou, D.; Fink, Richard W.; Moshe, J.; Earl, A.; Tsiotras, Panagiotis (Georgia Institute of Technology, 2005)
      This article describes the efforts undertaken at the School of Aerospace Engineering at the Georgia Institute of Technology for the development of a low-cost Unmanned Aerial Vehicle (UAV) test-bed for educational purposes. ...
    • Estimation and Guidance Strategies for Vision-based Target Tracking 

      Calise, Anthony J.; Johnson, Eric N.; Sattigeri, Ramachandra J.; Watanabe, Yoko; Madyastha, Venkatesh (Georgia Institute of TechnologyAACC, 2005-06)
      This paper discusses estimation and guidance strategies for vision-based target tracking. Specific applications include formation control of multiple unmanned aerial vehicles (UAVs) and air-to-air refueling. We assume that ...
    • A Compact Guidance, Navigation, and Control System for Unmanned Aerial Vehicles 

      Christophersen, Henrik B.; Pickell, R. Wayne; Neidhoefer, James C.; Koller, Adrian A.; Kannan, Suresh K.; Johnson, Eric N. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2006-05)
      The Flight Control System 20 (FCS20) is a compact, self-contained Guidance, Navigation, and Control system that has recently been developed to enable advanced autonomous behavior in a wide range of Unmanned Aerial Vehicles ...
    • Modeling, Control, and Flight Testing of a Small Ducted Fan Aircraft 

      Johnson, Eric N.; Turbe, Michael A. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2006-07)
      Small ducted fan autonomous vehicles have potential for several applications, especially for missions in urban environments. This paper discusses the use of dynamic inversion with neural network adaptation to provide an ...
    • Flight Results of Autonomous Fixed-Wing UAV Transitions to and from Stationary Hover 

      Johnson, Eric N.; Turbe, Michael A.; Wu, Allen D.; Kannan, Suresh K.; Neidhoefer, James C. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2006-08)
      Fixed-wing unmanned aerial vehicles (UAVs) with the ability to hover have significant potential for applications in urban or other constrained environments where the combination of fast speed, endurance, and stable ...
    • 3D Obstacle Avoidance in Adversarial Environments for Unmanned Aerial Vehicles. 

      Geyer, Mark S.; Johnson, Eric N. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, 2006-08)
      As unmanned aerial vehicles (UAVs) are considered for a wider variety of military and commercial applications, the ability to navigate autonomously in unknown and hazardous environments is increasingly vital to the ...
    • Real-Time Vision-Based Relative Aircraft Navigation 

      Johnson, Eric N.; Calise, Anthony J.; Watanabe, Yoko; Ha, Jin-Cheol; Neidhoefer, James C. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2007-03)
      This paper describes two vision-based techniques for the navigation of an aircraft relative to an airborne target using only information from a single camera fixed to the aircraft. These techniques are motivated by ...
    • Modelling and Hardware-in-the-Loop Simulation for a Small Unmanned Aerial Vehicle 

      Jung, Dongwon; Tsiotras, Panagiotis (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2007-05)
      Modeling and experimental identification results for a small unmanned aerial vehicle (UAV) are presented. The numerical values of the aerodynamic derivatives are computed via the Digital DATCOM software using the geometric ...
    • Inertial Attitude and Position Reference System Development for a Small UAV 

      Jung, Dongwon; Tsiotras, Panagiotis (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2007-05)
      This article presents an inexpensive inertial attitude and position reference system for a small unmanned aerial vehicle (UAV) that utilizes low cost inertial sensors in conjunction with a global positioning system (GPS) ...
    • A Hierarchical On-Line Path-Planning Scheme Using Wavelets 

      Tsiotras, Panagiotis; Bakolas, Efstathios (Georgia Institute of Technology, 2007-07)
      We present an algorithm for solving the shortest (collision-free) path planning problem for an agent (e.g., wheeled vehicle, UAV) operating in a partially known environment. The agent has detailed knowledge of ...
    • Vision-based Target Tracking with Adaptive Target State Estimator 

      Sattigeri, Ramachandra J.; Johnson, Eric N.; Calise, Anthony J.; Ha, Jin-Cheol (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2007-08)
      This paper presents an approach to vision-based target tracking with a neural network (NN) augmented Kalman filter as the adaptive target state estimator. The vision sensor onboard the follower (tracker) aircraft is a ...
    • Adaptive Neural Network Flight Control Using both Current and Recorded Data 

      Chowdhary, Girish; Johnson, Eric N. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2007-08)
      Modern aerospace vehicles are expected to perform beyond their conventional flight envelopes and exhibit the robustness and adaptability to operate in uncertain environments. Augmenting proven lower level control algorithms ...
    • Design and Implementation of a Self-configuring Ad-hoc Network for Unmanned Aerial Systems 

      Christmann, Hans Claus; Johnson, Eric N. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2007-10)
      Unmanned aerial vehicles (UAVs), and unmanned aerial systems (UAS) as such in general, need wireless networks in order to communicate. UAS are very flexible and hence allow for a wide range of missions by means of utilizing ...