COMPUTER VIEWING METHODS FOR ANALYSING ATMOSPHERIC TRANSPARENCY FROM IMAGES TAKEN BY UNMANNED AERIAL VEHICLES
Abstract. This paper considers the problem of automated assessment of atmospheric transparency in urban conditions based on images obtained from an unmanned aerial vehicle, using computer vision and deep learning methods. The study explores an approach focused on analyzing visual signs of smoke near the horizon, where the concentration of aerosol pollution is usually most […]
AGRICULTURAL FIELD OVERFLIGHT ROUTE PLANNING FOR A HETEROGENEOUS GROUP OF UNMANNED AERIAL VEHICLES
Abstract. The paper proposes an algorithm for planning routes for overflighting agricultural fields with obstacles to solve precision farming problems. The algorithm can be applied in both processing and field monitoring tasks. Unlike classical methods, which are limited to simple zigzag traversal (Zamboni) and elementary perimeter traversal of obstacles, this algorithm takes into account the […]