This repository contains the dataset and the code for our paper UAV Coarse Visual Localization in Large-Scale Continuous Scenes. Thank you for your kindly attention. Build train and test sets using ...

In the aftermath of a devastating earthquake, unpiloted aerial vehicles (UAVs) could fly through a collapsed building to map the scene, giving rescuers information they need to quickly reach survivors ...

ASELSAN, a Turkish defense company, unveiled two new autonomous naval strike platforms at the SAHA 2026 defense exhibition in Istanbul. The launch took place this week, drawing senior military ...

Autonomous navigation and localisation of unmanned aerial vehicles (UAVs) in environments where satellite signals are unreliable or unavailable has become a critical research frontier. Traditional ...

Our technical report has been released on the arXiv. We also introduce this dataset in Chinese on our Zhihu Webpage. We unify the definition of visual localization methods for UAVs in real scenarios ...

Navigating drones in environments without reliable Global Positioning System (GPS) signals remains a significant challenge for modern aerospace technology. A new study addresses methods for Unmanned ...

A report published in the April 7 edition of Satellite Navigation (DOI: 10.1186/s43020-025-00162-z) concludes that hybrid approaches are the most reliable solution for UAV navigation. The ...

As UAVs become integral to smart cities and infrastructure inspection, this research paves the way for safer, more effective operations in GPS-denied environments. Navigating Unmanned Aerial Vehicles ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

Abstract: Visual self-localization technology is essential for unmanned aerial vehicles (UAVs) to achieve autonomous navigation and mission execution in environments where global navigation satellite ...