Localization of autonomous unmanned aerial vehicles (UAVs) relies heavily on Global
Navigation Satellite Systems (GNSS), which are susceptible to interference. Especially in …

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 …

Localization based on onboard cameras and satellite images is a promising solution for
unmanned aerial vehicles (UAVs) when the global position system (GPS) is unavailable …

Unmanned aerial vehicle (UAV)-to-satellite geolocalization offers accurate drift-free
navigation in the absence of external positioning signals. Increased deep-learning-based …

Visual localization plays an essential role in the autonomous flight of Unmanned Aerial
Vehicles (UAVs) especially for the Global Navigation Satellite System (GNSS) denied …

Aerial imagery and its direct application to visual localization is an essential problem for
many Robotics and Computer Vision tasks. While Global Navigation Satellite Systems …

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

We propose a new method named LoD-Loc for visual localization in the air. Unlike existing
localization algorithms, LoD-Loc does not rely on complex 3D representations and can …

Despite significant progress in global localization of Unmanned Aerial Vehicles (UAVs) in
GPS-denied environments, existing methods remain constrained by the availability of …

Visual inertial odometry (VIO) is widely used for the state estimation of multicopters, but it
may function poorly in environments with few visual features or in overly aggressive flights …