This paper addresses the problem of range-based autonomous underwater vehicle (AUV)
localization in the presence of unknown ocean currents. In the setup adopted, the AUV is …

Neurotechnology has made great strides in the last 20 years. However, we still have a long
way to go to commercialize many of these technologies as we lack a unified framework to …

An unmanned aerial vehicle (UAV) stabilization strategy based on computer vision and
switching controllers is proposed. The main goal of this system is to perform tracking of a …

Estimation of rigid body attitude and angular velocity without any knowledge of the attitude
dynamics model is treated using the Lagrange–d'Alembert principle from variational …

In this work, we study minimum-energy filtering for attitude kinematics with vectorial
measurements using Mortensen's approach. The exact form of a minimum-energy attitude …

This paper revisits the problem of estimating the pose (position and orientation) of a body in
3-D space with respect to (wrt) an inertial frame by using 1) the knowledge of source points …

Tracking moving ground targets using unmanned air vehicles (UAVs) has important
applications in several areas. Kee** a close line of sight from a UAV to a target in a …

There has been an increasing interest in multi-disciplinary research on multisensor attitude
estimation technology driven by its versatility and diverse areas of application, such as …

In the image-based visual servoing framework, error signals are directly computed from
image feature parameters, thus obtaining control schemes which do not need neither a 3-D …

Stable estimation of rigid body pose and velocities from noisy measurements, without any
knowledge of the dynamics model, is treated using the Lagrange–d'Alembert principle from …