isprs annals IV 2 W3 49 2017
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In this paper, two straightforward and easy to implement strategies will be described and analyzed, which improve the direct positioning accuracies for UAV-based mapping and
The loss in accuracy ∆F C ASE D in percent of estimated pose parameters at noise level σ0 l = 0.0001 and different relative precision σ 0 x of approximate values, both in
In a more quantitative way, from the 2011 image of the area of flight, it was possible to geo-reference the UAV image using ENVI and estimate the central pixel latitude and
Our experiments suggest that our algorithm yields a 3D reconstruction of the environment showing a low uncertainty in the probabilistic model and a trajectory with less changes
In sum, we make the following four key claims: Our approach (i) does not require any hand-crafted features and thus can be imple- mented quickly, (ii) is able to provide accurate
With regard to recent publications which use scene corners instead of calibration objects consisting of multiple connected planes to estimate the relative pose of a single camera and
Image observations from D1 and D2, and absolute position and orientation control for the D2 ones, obtained from INS/GNSS (we assume that images from D2 are time-tagged via the
Figure 9: 3D visualization of a fragment of the fortified settlement developed using Blender tools. Each of the developed models was used for multi-criteria spatial analyses in
