Many of today’s complex applications require computers to draw information from a noisy world where input may be limited in accuracy and often is not complete. To meet the challenge, multiple sensor fusion is evolving rapidly as the basis of robust systems that can make sense of imperfect input, despite the environment in which it operates.
Sensor fusion is combining of sensory data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. The data sources for a fusion process are not specified to originate from identical sensors. One can distinguish direct fusion, indirect fusion and fusion of the outputs of the former two. Sensor fusion is also known as (multi-sensor) data fusion and is a subset of information fusion.