Improvement of the Prediction Quality for Visual Servoing with a Switching Kalman Filter

Target Tracking for Visual Servoing Systems Based on an Adaptive Kalman Filter

Visual servoing has been around for decades, but time delay is still one of the most troublesome problems to achieve target tracking. To circumvent the problem, in this paper, the Kalman filter is employed to estimate the future position of the object. In order to introduce the Kalman filter, accurate time delays, which include the processing lag and the ...

A new adaptive Kalman filter applied to visual servoing tasks

Improvement in Differential GPS Accuracy using Kalman Filter

Global Positioning System (GPS) is proven to be an accurate positioning sensor. However, there are several sources of errors such as ionosphere and troposphere effects, satellite time errors, errors of orbit data, receivers errors, and errors resulting from multi-path effect which reduce the accuracy of low-cost GPS receivers. These sources of errors also limit the use of single-frequency GPS r...

Improvement of Navigation Accuracy using Tightly Coupled Kalman Filter

In this paper, a mechanism is designed for integration of inertial navigation system information (INS) and global positioning system information (GPS). In this type of system a series of mathematical and filtering algorithms with Tightly Coupled techniques with several objectives such as application of integrated navigation algorithms, precise calculation of flying object position, speed and at...

Position-based Visual Servoing in Industrial Multi-arm Robotic Cells Using Multiple Cameras

This paper deals with the problem of position-based visual servoing in a multi-arm robotic cell equipped with a hybrid eye-in-hand/eye-to-hand multicamera system. The proposed approach is based on the real-time estimation of the pose of a target object by using the extended Kalman filter. The data provided by all the cameras are selected by a suitable algorithm on the basis of the prediction of...