An automatic landing of an unmanned aerial vehicle (UAV) is a non-trivial task requiring a
solution of a variety of technical and computational problems. The most important is the …

This paper proposes the modified feature point threshold filter (FPTF) algorithm for UAVs to
improve optical-flow-based navigation performance depending on the altitude and velocity …

It is necessary to establish the relative performance of established optical flow approaches
in airborne scenarios with thermal cameras. This study investigated the performance of a …

The study explores the feasibility of optical flow‐based neural network from real‐world
thermal aerial imagery. While traditional optical flow techniques have shown adequate …

This study is inspired by the widely used algorithm for real-time optical flow, the sparse
Lucas–Kanade, by applying a feature extractor to decrease the computational requirement …

This study explores the utility of optical flow calculated from thermal imaging
cameras,“thermal flow,” mounted on an aircraft for localization in day and night conditions …

This paper deals with the issue of autonomous indoors navigation related to Unmanned
Aerial Vehicles. Here, we simulated two hexarotors: a fully-actuated one that maintains level …

В наши дни достижениÿ в разработке оптоэлектронных устройств и систем передачи
данных позволÿют использовать их в системах дистанционного управлениÿ …

Small unmanned aerial vehicles (UAVs) are usually equipped with low-cost global
positioning systems (GPS)/inertial integrated navigation systems. In the GPS-denied …

The use of image sensors in positioning systems has increased significantly the last years,
spanning from complex SLAM-systems to simpler triangulation based methods. In the latter …