2-Sliding Mode Trajectory Tracking Control and EKF Estimation for Quadrotors

Since the control appears in the first derivative, the system has a relative degree equal to 1 w.r.t. the sliding variable. A first order sliding mode algorithm would have

Our method is composed of multiple particle filters, and each filter tracks each person correctly by integrat- ing information from floor sensors and target-specific information

Keywords: Vision-based estimation, vision-based control, robotics, image reg- istration, computer vision, visual tracking, visual SLAM, visual servoing... Dans leur grande

This experiment was also used to derive the magnetic field gradient estimates presented in Figure 4. Velocities estimates reported in Figure 10 have a not surprisingly low mean value

Abstract— This paper presents a simple and easy to imple- ment sensor data fusion algorithm, using a Kalman filter (KF) in a loosely coupled scheme, for estimation of the velocity

The aim of the lateral control of autonomous intelligent vehicles is to minimize the lateral displacement of the vehicle with respect to a given reference path... SMC AND

A lot of works deal with the problem of TTC estimation with classical perspective camera, whereas few methods have been developed for catadioptric cameras.. If we consider these

In this paper, a dual camera vision system, capable to automatically detect and track regions of interest at a higher zoom level, has been described. Experiment results