Research on unmanned aerial vehicles is growing as they are becoming less expensive
and more available than before. The applications span a large number of areas and include …

The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

Scene matching involves establishing a mapping relationship between heterogeneous
images, which is crucial for drone visual geo-localization. However, it poses a significant …

In Global Navigation Satellite System (GNSS)-denied environments, image registration has
emerged as a prominent approach to utilize visual information for estimating the position of …

Computing dense pixel-to-pixel image correspondences is a fundamental task of computer
vision. Often, the objective is to align image pairs from the same semantic category for …

Onboard sensors, such as cameras and thermal sensors, have emerged as effective
alternatives to Global Positioning System (GPS) for geo-Iocalization in Unmanned Aerial …

Currently, unmanned aerial vehicle (UAVs) are used in many fields, among which UAV
localization is the key to UAV autonomous flight capability, and how to locate UAVs in the …

In this paper, an Unmanned Aerial System (UAS) navigation solution using the Intel
RealSense T265, a commercially available Visual Inertial Odometry device, is developed …

The accuracy and reliability of unmanned aerial vehicle (UAV) visual positioning systems
are dependent on the performance of multi-source image matching algorithms. Despite …

Unmanned Aerial Vehicles (UAVs) have proliferated across diverse domains. However,
optimal UAV operations necessitate precise and reliable navigation systems. UAVs …