Improvement of strain gauges micro-forces measurement using Kalman optimal filtering

Sequential Bundle Adjustment Using Kalman Filtering and Optimal Smoothing

Vision aiding of the navigation solution has become an integral component of low-cost IMU/GPS sub-systems providing direct georeferencing to remote sensing systems. The data workflow to recover the orientation parameters rigorously requires the simultaneous handling of large amount of imagery and navigation data. In some situations, with small unmanned aerial vehicles for example, a flight bloc...

Instrumentation design based on optimal Kalman filtering

This paper presents a methodology for locating sensors in dynamic systems. It aims to maximize Kalman filtering performance by using accuracy as its main performance index. To accomplish this task, both the measurement noise and the observation matrices are manipulated. The method has been applied in two academic case studies and in the Tennessee Eastman Challenge Problem and has shown promisin...

Measurement of strains in fixed bridges with electronic strain gauges.

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...

Kalman-filtering using local interactions

There is a growing interest in using Kalman-filter models for brain modelling. In turn, it is of considerable importance to represent Kalman-filter in connectionist forms with local Hebbian learning rules. To our best knowledge, Kalman-filter has not been given such local representation. It seems that the main obstacle is the dynamic adaptation of the Kalman-gain. Here, a connectionist represen...