We propose in this work a non-parametric Gaussian Process Regression (GPR) model to estimate reduced drift velocity of a commercial Micro Air Vehicle (MAV)

Duration: 10:32
Posted: Jun 7, 2023

Estimating the mean in a nonparametric regression on a two-dimensional regular grid of design points is asymptotically equivalent to estimating the drift of a ...

Our proposed method demonstrates superior performance in both datasets and provides a viable solution to reduce position drift on commercial MAVs. Index Terms— ...

We propose in this work a Gaussian Process Regression (GPR) model to estimate reduced drift velocity of a commercial Micro Air Vehicle (MAV) by using a single ...

In this paper we propose a non-linear control law to achieve trajectory tracking in the 3D space for a commercial AR.Drone 2.0 quadrotor.

Commercial MAV Velocity Estimation Using Gaussian Process Regression for Drift Reduction Kenny Anderson Queiroz Caldas, Roberto Santos Inoue, Marco Henrique ...

Several methods have been proposed to reduce the complexity of the Gaussian process regression technique, from O(n 3 ) to e.g. O(nlog 2 n) [32] , [33].

A Gaussian process localization algorithm that can exploit the spatially correlated field measurements taken during a robot's exploration for efficiently ...