Multi - Sensor Data Fusion Using Bayesian Programming : anAutomotive

Multi-sensor data fusion using Bayesian programming : an automotive application

Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks

The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...

Bayesian Approach for Optimal Multi-Source Data Fusion

This paper describes a Bayesian approach for multi-sensor data fusion. Unlike the traditional Bayesian approaches, we introduce using the system model to estimate the state evolution, which prevents from dealing with Dirac delta function and is much more convenient and easier for computation. The efficacy of this approach is validated by localizing a mobile electrical cart equipped with multipl...

A New Fault Tolerant Nonlinear Model Predictive Controller Incorporating an UKF-Based Centralized Measurement Fusion Scheme

A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

A Dynamic Evidential Fusion Network for Decision Making in Multi- Robot System

In smart environments, a multi-robot system is difficult to achieve a high confidence level of information for reliable decision making. The pieces of sensed information obtained from a multi-robot system have different degrees of uncertainty. Generated contexts about the situation of the environment can be conflicting even if they are acquired by simultaneous operations. In particular, unpredi...