Sensor fusion is the process of combining sensor 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. For instance, one could potentially obtain a more accurate location estimate of an indoor object by combining multiple data sources such as video cameras and WiFi localization signals. The term uncertainty reduction in this case can mean more accurate, more complete, or more dependable, or refer to the result of an emerging view, such as stereoscopic vision (calculation of depth information by combining two-dimensional images from two cameras at slightly different viewpoints).[1][2]
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. Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and human input.
Sensor fusion is also known as (multi-sensor) data fusion and is a subset of information fusion.
^Elmenreich, W. (2002). Sensor Fusion in Time-Triggered Systems, PhD Thesis(PDF). Vienna, Austria: Vienna University of Technology. p. 173.
^Haghighat, Mohammad Bagher Akbari; Aghagolzadeh, Ali; Seyedarabi, Hadi (2011). "Multi-focus image fusion for visual sensor networks in DCT domain". Computers & Electrical Engineering. 37 (5): 789–797. doi:10.1016/j.compeleceng.2011.04.016. S2CID 38131177.
Sensorfusion is the process of combining sensor data or data derived from disparate sources such that the resulting information has less uncertainty than...
For example, sensorfusion is also known as (multi-sensor) data fusion and is a subset of information fusion. The concept of data fusion has origins in...
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integration) Sensorfusion Data integration Image fusion Synesthesia M. E. Liggins; D. L. Hall; J. Llinas (2008). Theory and Practice (Multisensor Data Fusion) (Second ed...
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system is the primary component, programmed with sensorfusion algorithms that act on real-time sensor data. Mission-specific controls are handled through...
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