With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of t...

The principle of target tracking and data fusion techniques are discussed. To resolve high uncertainty that exists in sensors of mobile robots, one multi-sensor data fusion algorithm is presented. The algorithm is based on particle filter techniques, fuses the information coming from multiple sensors and merges different state space models. So it can be used to eliminate system and measurement ...

Image Fusion, a technique which combines complimentary information from different images of the same scene so that the fused image is more suitable for segmentation, feature extraction, object recognition and Human Visual System. In the proposed thesis work, a fast and efficient algorithm based on wavelet transform for multi-sensor image data has been proposed that could retrieve the prime feat...

In this paper, we propose a navigation algorithm for a mobile robot, which is intelligently searching the goal location in unknown dynamic environments using an ultrasonic sensor. Instead of using "sensor fusion" method which generates the trajectory of a robot based upon the environment model and sensory data, "command fusion" method is used to govern the robot motions. The navigation strategy...

This paper presents fusion based pattern recognition approach of feature scores for chemical class identification of volatile organic compounds (VOCs) by response analysis of model surface acoustic wave (SAW) sensor array. Diverse features are generated by analysis of sensor array response using three feature extraction methods: principal component analysis (PCA), independent component analysis...

Some multi-sensor fusion systems are not asymptotic stable like target tracking system. When using classical H∞ filtering theory to design the fusion filter for these systems, there are no feasible solutions to the problem. Applying H∞ theory and LMI methods to design the H∞ fusion filter for those kind of fusion systems, in which the process and measurement noise have unknown statistic charact...

In this paper, we present a multi-modal fusion scheme for tracking and behavior analysis in Smart Home environments. This is applied to tracking multiple people and detecting their behavior. To this end, information from multiple heterogeneous sensors (visual color sensor, thermal sensor, infrared sensor and photonic mixer devices) is combined in a common 3D voxel occupancy grid. Graph cuts are...

Advanced optimization-based algorithms for sensor resource management have been previously developed and presented. These algorithms offer the potential for automating the sensor control process in response to level 1 sensor data fusion (object or track-level) estimates. In this paper, a hierarchical target valuation model that estimates target value on the basis of not only level 1 fusion info...

Shape from Motion data fusion brings a greater degree of autonomy and sensor integration to intelligent systems in which fusion by constant linear transformations is appropriate. To illustrate this, we apply Shape from Motion techniques to applications involving both similar and disparate sensory information vectors. First, nearly autonomous force/torque sensor calibration is demonstrated throu...

We present fusion algorithms and detection performance for two sensors of buried land mines capable of forwardlooking operation. The Þrst is a laser Doppler vibrometer (LDV) sensor of acoustically induced soil vibrations developed by the University of Mississippi. The second is a wideband, forward-looking, synthetic aperture groundpenetrating radar developed by SRI. We demonstrate the performan...