Now showing items 1-3 of 3
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 ...
Guidance, Navigation, Control, and Operator Interfaces for Small Rapid Response Unmanned Helicopters
(Georgia Institute of Technology, 2008-04)
This paper focuses on the development of small rapid response reconnaissance unmanned helicopters (1 to 3 kg, electric), for use by the military in urban areas and by civilian first responders, in terms of system ...
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 ...