Multisensor Fusion and Integration

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Sensor is a device that detects or senses the value or changes of value of the variable being measured. The term sensor some times is used instead of the term detector, primary element or transducer.
The fusion of information from sensors with different physical characteristics, such as light, sound, etc enhances the understanding of our surroundings and provides the basis for planning, decision making, and control of autonomous and intelligent machines.
Data fusion techniques combine data from multiple sensors, and related information from associated databases, to achieve improved accuracies and more specific inferences than could be achieved by the use of a single sensor alone. The concept of multisensor data fusion is hardly new. Humans and animals have evolved the capability to use multiple senses to improve their ability to survive. For example, it may not be possible to assess the quality of an edible substance based solely on the sense of vision or touch, but evaluation of edibility maybe achieved using a combination of sight, touch, smell, and taste. Similarly, while one is unable to see around comers or through vegetation, the sense of hearing can provide advanced warning of impending dangers. Thus multisensory data fusion is naturally performed by animals and humans to achieve more accurate assessment of the surrounding environment and identification of threats, thereby improving their chances of survival.

A sensor is a device that responds to some external stimuli and then provides some useful output. One problem is that sensors have not been specified. In other words they tend to respond variety of stimuli applied on it without being able to differentiate one from another. Neverthless, sensors and sensor technology are necessary ingredients in any control type application. Without the feedback from the environment that sensors provide, the system has no data or reference points, and thus no way of understanding what is right or wrong with its various elements. Sensors are so important in automated manufacturing particularly in robotics. Automated manufacturing is essentially the procedure of removing human element as possible from the manufacturing process. Sensors in the condition measurement category sense various types of inputs, condition, or properties to help monitor and predict the performance of a machine or system.

Multisensor fusion and integration is a rapidly evolving research area. Multisensor fusion and integration refers to the combination of sensory data from multiple sensors to provide more accurate and reliable information.
The potential advantage of multisensor fusion and integration are redundancy, complementarity, timeliness and cost of the information.
Application of multisensor fusion and integration are also in the area of robotics, biomedical system, equipment monitoring, remote sensing and transportation system.

Sensor is a device that detects or senses the value or changes of value of the variable being measured. The term sensor some times is used instead of the term detector, primary element or transducer.
The fusion of information from sensors with different physical characteristics, such as light, sound, etc enhances the understanding of our surroundings and provide the basis for planning, decision making, and control of autonomous and intelligent machines.

 Download your Full Reports for Multisensor Fusion and Integration


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