Now showing items 1-5 of 5
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 ...
Indoor Navigation for Unmanned Aerial Vehicles
(Georgia Institute of Technology, 2009-08)
The ability for vehicles to navigate unknown environments is critical for autonomous operation. Mapping of a vehicle's environment and self-localization within that environment are especially difficult for an Unmanned ...
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 ...
Fourteen Years of Autonomous Rotorcraft Research at the Georgia Institute of Technology
(Georgia Institute of Technology, 2013)
This paper presents a brief history and description of capabilities of the Georgia Tech Unmanned Aerial Vehicle Research Facility, while extracting and summarizing many significant and applicable results produced in the ...
3D Obstacle Avoidance in Adversarial Environments for Unmanned Aerial Vehicles.
(Georgia Institute of Technology, 2006-08)
As unmanned aerial vehicles (UAVs) are considered for a wider variety of military and commercial applications, the ability to navigate autonomously in unknown and hazardous environments is increasingly vital to the ...