At present, multi-sensor data fusion technology has been applied in many fields, and we have to understand the algorithm principle of multisensor technology, master basic theory analyze application field technology. The technical challenges its area should be understood. discussion on development direction promoted wide By improving query planning, interpretation, cache optimization mechanism d...

The problem of objective evaluation of multisensor image fusion strategies is analysed for the design of a dual infrared system. Such a system should be used to enhance the sight effectiveness in assisting a driver or a pilot in bad visibility conditions. Two no-reference indexes are used to quantify the performance of different image fusion methods. Numerical results are presented and discusse...

This paper discusses the application of category theory as a unifying concept for formally developed information fusion systems. Category theory is a mathematically sound technique used to capture the commonalties and relationships between objects. This feature makes category theory a very elegant language for describing information fusion systems and the information fusion process itself. Afte...

We consider in this paper the passive multisensor Target Motion Analysis (TMA) problem. The ownship, typically a submarine, is equipped with a Cylindrical Antenna (CA) and a Towed Antenna (TA), whose outputs are made of bearing tracks for the first one and bearing or bearing/frequency tracks for the second. The aim is to take advantage of the multisensor data fusion to improve the TMA process t...

The aim of this article is to develop a GPS/IMU Multisensor fusion algorithm, taking context into consideration. Contextual variables are introduced to define fuzzy validity domains of each sensor. The algorithm increases the reliability of the position information. A simulation of this algorithm is then made by fusing GPS and IMU data coming from real tests on a land vehicle. Bad data delivere...

This paper presents a distributed receding horizon filtering algorithm for multisensor continuous-time linear stochastic systems. Distributed fusion with a weighted sum structure is applied to local receding horizon Kalman filters having different horizon lengths. The fusion estimate of the state of a dynamic system represents the optimal linear fusion by weighting matrices under the minimum me...