Now showing items 1-3 of 3
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 ...
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 ...