Free to read Visual Odometry is a key technology for robust and accurate navigation of unmanned aerial vehicles in a number of low altitude applications (<120 m), particularly in environments where access to a global positioning system is possible, but not guaranteed. Navigating via vision alone reduces dependence on a global positioning system and other global navigation satellite systems, enhancing navigation robustness even in the presence of jamming, spoofing or long dropouts. To date, however, most demonstrations of visual odometry are in close proximity to the ground or other structures and are often implemented as a monocular camera combined with inertial sensing, rather than vision alone, to account for scale drift. Stereo visual od...
Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation S...
abstract: The exponential rise in unmanned aerial vehicles has necessitated the need for accurate po...
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autono...
Free to read Visual Odometry is a key technology for robust and accurate navigation of unmanned aeri...
Stereo visual odometry has received little investigation in high altitude applications due to the ge...
This thesis explored the utility of long-range stereo visual odometry for application on Unmanned Ae...
Achieving a robust, accurately scaled pose estimate in long-range stereo presents significant challe...
Abstract-Achieving a robust, accurately scaled pose estimate in long-range stereo presents significa...
Abstract: We present a system to estimate the altitude and motion of an aerial vehicle using a stere...
The fastest and most economical method of acquiring terrain images is aerial photography. The use of...
We aim to demonstrate unaided visual 3D pose estimation and map reconstruction using both monocular ...
Visual odometry and mapping methods can provide accurate navigation and comprehensive environment (o...
With increasing automation of unmanned aircraft and the endeavor to fly between buildings in cities ...
We present a system to estimate the altitude and motion of an aerial vehicle using a stereo visual s...
We aim to demonstrate unaided visual 3D pose estimation\ud and map reconstruction using both monocul...
Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation S...
abstract: The exponential rise in unmanned aerial vehicles has necessitated the need for accurate po...
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autono...
Free to read Visual Odometry is a key technology for robust and accurate navigation of unmanned aeri...
Stereo visual odometry has received little investigation in high altitude applications due to the ge...
This thesis explored the utility of long-range stereo visual odometry for application on Unmanned Ae...
Achieving a robust, accurately scaled pose estimate in long-range stereo presents significant challe...
Abstract-Achieving a robust, accurately scaled pose estimate in long-range stereo presents significa...
Abstract: We present a system to estimate the altitude and motion of an aerial vehicle using a stere...
The fastest and most economical method of acquiring terrain images is aerial photography. The use of...
We aim to demonstrate unaided visual 3D pose estimation and map reconstruction using both monocular ...
Visual odometry and mapping methods can provide accurate navigation and comprehensive environment (o...
With increasing automation of unmanned aircraft and the endeavor to fly between buildings in cities ...
We present a system to estimate the altitude and motion of an aerial vehicle using a stereo visual s...
We aim to demonstrate unaided visual 3D pose estimation\ud and map reconstruction using both monocul...
Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation S...
abstract: The exponential rise in unmanned aerial vehicles has necessitated the need for accurate po...
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autono...