Special issue "Sensor Fusion". Sensor Fusion Project.

Sensor fusion

Sensor fusion is a method of integrating signals from multiple sources. It allows extracting information from several different sources to integrate them into single signal or information. In many cases sources of information are sensors or other devices that allow for perception or measurement of changing environment. Information received from multiple-sensors is processed using "sensor fusion...

Sensor Fusion

Special Issue on Machine Learning and Sensor Fusion Techniques for Surveillance and Monitoring Applications

The recent advances in the smart sensor technology and proliferation of their availability in conjunction with ubiquitous communication platforms have tremendously enabled researchers in surveillance and situational understanding area to propose and build cutting edge Monitoring and Surveillance applications with high quality and fidelity. The purpose of this special issue is to provide details...

Distributed Sensor Fusion Networks

This paper introduces a framework for processing sensor measurements with respect to their dependability. Each measurement is represented as an observation, i. e., a compound of a name, a measurement instant, the measured value, and a confidence marker indicating the dependability of value and instant. Sensor observations are processed by a network of fusion nodes in order to produce data with ...

Feature Level Sensor Fusion

This paper describes two practical fusion techniques (hybrid fusion and cued fusion) for automatic target cueing that combine features derived from each sensor data at the object-level. In the hybrid fusion method each of the input sensor data is prescreened (i.e. Automatic Target Cueing (ATC) is performed) before the fusion stage. The cued fusion method assumes that one of the sensors is desig...