Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …

The big data provided by unmanned aerial vehicle (UAV) visual sensors offers essential
information resources for activities across various industries. However, various adversarial …

This paper investigates the state estimation problem for a class of stochastic system under
randomly occurring measurement anomalies, and the Kalman filter is combined with …

Recently, with the development of communication and positioning technologies,
progressively higher demands have been placed on the timeliness of indoor communication …

The usage of unmanned aerial vehicles (UAVs) is considered a new technological trend
able to solve some challenges of the modern society as dedicated transportation, on …

Supplementing or replacing the Global Satellite Navigation System (GNSS) for robust UAV
localization remains a challenge. In this work, we propose an infrared vision and altitude …

This paper presents a novel stacked hybrid deep learning model for real-time prediction of
drone attitude and position, specifically designed to support applications in massive Multiple …

Motion estimation is a major issue in applications of Unmanned Aerial Vehicles (UAVs). This
paper proposes an entire solution to solve this issue using information from an Inertial …

This paper introduces a novel approach to es-timating the distance between a drone and a
camera using deep learning techniques. The proposed method employs a low-complexity …

We introduce a cost-effective real-time 3-dimensional localization and control system of a
quad rotorcraft Unmanned Aircraft System (UAS). The intended purpose of the system is to …