What is a sensor fusion?

The sensor fusion is to mix sensory data from different sources to create a more complete image than it would otherwise be possible if they were considering independent sources in itself. During the fusion of the sensor merger, the increased completeness of the image concerns information that is becoming more complete, more accurate or reliable than they should guarantee independent sources. In other words, the sensory fusion is an example of two plus two straight five; The combination of data sources offers additional sensory information that would not otherwise be available. The sensor merger is usually used in tracking operations, including television cameras, sonar, radar and geological supervision including seismic or magnetic sensors. The process is carried out by centralized or decentralized approach, depending on which party is responsible for a combination of images into a single whole. The safety system consisting of multiple tracking cameras set up in different rooms of the house. If all cameras are associated with one central room containing poisonIn a television monitor for each camera, there will be a wall of pictures that represents summary tracking data for the whole house. This aggregated combination of images illustrates other advantages of joining images together to a single; By sending all the camera information to the central position, it is much easier to follow the movements and activities of individuals in the house.

This can be contrasted with a situation where there is only one TV screen and the observer must go through different cameras to get a desire image. The observer still gets exactly the same data, but the fact that the information is obtained in different pieces - unlike a smooth whole - makes it difficult to perform the supervision process. The collection of intruder data in a sensory environment provides more information; In some cases, the overlapping zone of the camera coverage will provide a multi -veil view of the intruder, which will be identificationAnd observation much easier. In the environment of an impossible, the need to go through the images on one screen, gets rid of the observer of these benefits with more angles. Although it provides exactly the same views, the observer benefits more to the images are connected together.

This is a decentralized example of sensory fusion; The observer must combine the camera feeding data using his own judgment and knowledge. This can be compared to the centralized sensor fusion environment, where some party combines data sources before handing over the end result to the client. When choosing one or the other, the experience is the importance of determining the factor. In an environment in which the client has expertise in sorting and combining heterogeneous data, a decentralized approach can enable the client to use his professional judgment with unprocessed data. If the client has less experience, the centralized approach can allow more qualified individuals to sort raw data and pass only the most importantWidth information to the client.