In this article, we study the well known problem of wind estimation in atmospheric turbulence
using small unmanned aerial systems (sUAS). We present a machine learning approach to …

We present a model-based approach to estimate the vertical profile of horizontal wind
velocity components using motion perturbations of a multirotor unmanned aircraft system …

This paper provides an overview of flight-test system identification methods applied in the
Virginia Tech Nonlinear Systems Laboratory that focus on modeling small, inexpensive …

This article proposes a method of measuring wind speed using the data logged by the
autopilot of a quadrotor drone. Theoretical equations from works on quadrotor control are …

The capabilities of hovering unmanned aerial vehicles (UAVs) in low-altitude sensing of
atmospheric turbulence with high spatial resolution are studied experimentally. The vertical …

We consider a nonlinear estimation problem where a quadcopter moves in a wind field. The
accuracy of the thrust model used in an estimator for wind estimation is highly related to …

Electronic geofencing is proposed as a means to manage small unmanned aircraft systems
in distinct airspace boundaries. A geofence is defined by a minimum and maximum altitude …

A real-time wind velocity vector and parameters estimation and wind model identification
approach using a machine learning technique is addressed in this paper. The proposed …

Small unmanned aircraft and electric vertical takeoff and landing (eVTOL) aircraft have
recently emerged as vehicles able to perform new missions and stimulate future air …

Wind estimation for small unmanned aerial vehicles (sUAVs) can not only improve their
navigation and flight performance, but also be used for environmental studies and …