Now showing items 93-101 of 101

    • UAS Reference Scenarios for MANET Development 

      Christmann, Hans Claus; Johnson, Eric N. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2008-08)
      After autonomous flight for Unmanned Aerial Vehicles (UAVs) has been accomplished, research was stipulated to look into application related challenges in connection with Unmanned Aerial Systems (UAS). As one possible ...
    • Use of relaxation methods in sampling-based algorithms for optimal motion planning 

      Arslan, Oktay; Tsiotras, Panagiotis (Georgia Institute of Technology, 2013-05)
      everal variants of incremental sampling-based algorithms have been recently proposed in order to optimally solve motion planning problems. Popular examples include the RRT* and the PRM* algorithms. These algorithms are ...
    • Visibility Cues for Communication Aware Guidance in Cluttered Environments 

      Christmann, Hans Claus; Johnson, Eric N. (Georgia Institute of TechnologySpringer Berlin Heidelberg, 2011)
      This paper presents the usage of visibility based guidance cues in order to find waypoints useful for maintaining communication in a multi UAV (Uninhabited Aerial Vehicle), single operator system. Based upon the overlay ...
    • Vision-Based Closed-Loop Tracking Using Micro Air Vehicles 

      Nakamura, Takuma; Haviland, Stephen; Bershadsky, Dmitry; NodeIn, Daniel Magree; Johnson, Eric N. (Georgia Institute of Technology, 2016)
      This paper describes the target detection and tracking architecture used by the Georgia Tech Aerial Robotics team for the American Helicopter Society (AHS) Micro Aerial Vehicle (MAV) challenge. The vision system described ...
    • Vision-Based Optimal Landing On a Moving Platform 

      Nakamura, Takuma; Haviland, Stephen; Bershadsky, Dmitry; Johnson, Eric N. (Georgia Institute of Technology, 2016-05)
      This paper describes a vision-based control architecture designed to enable autonomous landing on a moving platform. The landing trajectory is generated by using the receding-horizon differential dynamic programming (DDP), ...
    • 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 ...
    • 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 ...
    • Visual Marker Detection In The Presence Of Colored Noise for Unmanned Aerial Vehicles 

      Shah, Syed Irtiza Ali; Wu, Allen D.; Johnson, Eric N. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 2010-04)
      This paper develops a vision-based algorithm to detect a visual marker in real time and in the presence of excessive colored noise for Unmanned Aerial Vehicles. After using various image analysis techniques, including ...
    • The Zermelo-Voronoi Diagram: a Dynamic Partition Problem 

      Bakolas, Efstathios; Tsiotras, Panagiotis (Georgia Institute of TechnologyElsevier, 2010)
      We consider a Voronoi-like partition problem in the plane for a given finite set of generators. Each element in this partition is uniquely associated with a particular generator in the following sense: An agent that resides ...