Volume 32 #1

Contents

1. Variability of different functional songs types from Aelia acuminata L. (Heteroptera, Pentatomidae)
2. Receptive field sizes of sustained ganglion cells in the retina of Carassius gibelio
3. Fusion of radar, visible and thermal imagery with account for differences in brightness and chromaticity perception
4. Modelling of the unmanned aerial vehicle navigation on the basis of two height-shifted onboard cameras
5. Visual localisation of aerial images on vector map using colour-texture segmentation
6. Comparison of the digitized pages of business documents by means of recognition
7. The algorithm of epipole position estimation under pure camera translation
8. Segmentation of vehicle registration plates based on dynamic time warping
9. Finding the correspondence between closed curves under projective distortions
10. Blur kernel estimation with algebraic tomography technique and intensity profiles of object boundaries
11. Weighted search for a projective optical flow resistant to specular reflections
12. Algebraic methods for tomography problem
13. Quantitative analysis of the point light source virtual image doubling in underwater stereo vision

Automatic landing of unmanned aerial vehicle (UAV) is non-trivial issue, demanding resolution of the whole spectrum of technical and computing problems. At the final stage of landing the errors level of existing navigation means may not be acceptable for autonomous landing. It is desirable to have an additional sensor, which makes it possible to reliably estimate the height above the runway. With the help of the so-called optical flow (OF), determined by the sequence of images recorded by a single on-board camera, one can estimate the velocities of the UAV, but it is necessary to know the height and angular position values. The UAV, equipped with a pair of height-shifted cameras recording images of the underlying surface, can estimate both speed and altitude. With the help of the IMODEL software, the modelling of image sequences recorded by a pair of height-shifted on-board cameras was carried out and the altitude estimation method have been verified.

Key words: navigation, UAV, optical flow, Kalman filter

DOI: 10.7868/S0235009218010043

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