Now showing items 1-6 of 6
Visual Marker Detection In The Presence Of Colored Noise for Unmanned Aerial Vehicles
(Georgia Institute of Technology, 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 ...
Approaches to Vision-Based Formation Control
(Georgia Institute of Technology, 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 ...
Real-Time Vision-Based Relative Aircraft Navigation
(Georgia Institute of Technology, 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 ...
Estimation and Guidance Strategies for Vision-based Target Tracking
(Georgia Institute of Technology, 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 ...
Vision-based Target Tracking with Adaptive Target State Estimator
(Georgia Institute of Technology, 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 ...
Methods for Localization and Mapping Using Vision and Inertial Sensors
(Georgia Institute of Technology, 2008-08)
The problems of vision-based localization and mapping are currently highly active areas of research for aerial systems. With a wealth of information available in each image, vision sensors allow vehicles to gather data ...