This paper studies some key technology of multifunctional sensor signal reconstruction. The multifunctional sensor signal reconstruction problem, presented a multifunctional sensor signal reconstruction method based on B spline and the extended Calman filter. The method of inverse model of the process was studied, gives a method to estimate signal reconstruction accuracy and computation. Geneti...

In industrial systems, the multi-rate sampling strategy has been widely used due to advantage in balancing cost and performance as well psychical characteristics of hardware. Accordingly, analysis synthesis problems systems (MRSs) have received considerable research attentions owing significant engineering background. Among others, state estimation problem, aims estimate system based on contami...

This paper presents an innovative sensor fusion strategy for the positioning of an underwater ROV. The use of multiple Kalman filters makes the system highly adaptable by allowing different combinations of sensors without any modification of the models. This algorithm can handle any number of redundant sensors by using multi-filter fusion and can work asynchronously with different sensor data r...

An approach to the long range automatic detection of vehicles, using multi-sensor image sequences is presented. The algorithm we use was tested on a database of six sequences, acquired under diverse operational conditions. The vehicles in the sequences can be either moving or stationary. The sensors are stationary, but can perform a pan/tilt operation. The presented paradigm uses data fusion me...