• Addressing Track Coalescence in Sequential K-Best Multiple Hypothesis Tracking 

      Palkki, Ryan D. (Georgia Institute of Technology, 2006-05-22)
      Multiple Hypothesis Tracking (MHT) is generally the preferred data association technique for tracking targets in clutter and with missed detections due to its increased accuracy over conventional single-scan techniques ...
    • Applying a model-based observer to quantitatively assess spatial disorientation and loss of energy state awareness 

      Bozan, Anil Emilio (Georgia Institute of Technology, 2015-04-27)
      This thesis demonstrates how a model-based observer can be applied to estimate the reference pilot expectation that can be achieved with any instrument scanning behavior and established models of vestibular inputs. The ...
    • Dynamic compressive sensing: sparse recovery algorithms for streaming signals and video 

      Asif, Muhammad Salman (Georgia Institute of Technology, 2013-07-01)
      This thesis presents compressive sensing algorithms that utilize system dynamics in the sparse signal recovery process. These dynamics may arise due to a time-varying signal, streaming measurements, or an adaptive signal ...
    • Multi-camera uncalibrated visual servoing 

      Marshall, Matthew Q. (Georgia Institute of Technology, 2013-07-02)
      Uncalibrated visual servoing (VS) can improve robot performance without needing camera and robot parameters. Multiple cameras improve uncalibrated VS precision, but no works exist simultaneously using more than two cameras. ...
    • Robust nonlinear observer for a non-collocated flexible motion system 

      Waqar, Mohsin (Georgia Institute of Technology, 2008-04-01)
      Robustness of the closed-loop system has repercussions on both stability and performance, making the study of robustness very important. Fundamentally, the performance and stability of closed-loop systems utilizing ...
    • 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 ...