Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source.
Fusion of the data from two sources (dimensions # 1 & # 2) can yield a classifier superior to any classifiers based on dimension # 1 or dimension # 2 alone
Data fusion processes are often categorized as low, intermediate, or high, depending on the processing stage in which the fusion takes place. Low-level data fusion combines several sources of raw data to produce new raw data. The expectation is that the fused data is more informative and synthetic than the original inputs.
For example, sensor fusion is also known as (multi-sensor) data fusion and is a subset of information fusion.
- Sensory Feedback Performance Improvement on RoboCab: An Experimental Approach to Wire Driven Parallel Robot , In Robotics and Mechatronics (ICROM), 4th RSI International Conference on, p. 477-482, IEEE , 2016