When building sensor-based systems we have to deal with the fact that some sensor inputs are sometimes inaccurate and incomplete, making the extraction of useful information difficult.
There is an approach called sensor fusion in which each sensor, with its own strengths and weaknesses, is leveraged with some other sensors to offset its weaknesses; thus increasing accuracy and expanding functionality of the entire sensor network.
The tools below purport to support the development of sensor fusion algorithms:
• MEMS Industry Group’s AIC library - http://github.com/memsindustrygroup/Open-Source-Sensor-Fusion
• NXP/Freescale - http://nxp.com/products/sensors/nxp-sensor-fusion
• PNI Sensor Corp - http://pnicorp.com/
• Analog Devices - http://analog.com/
• InvenSense - http://invensense.com/sensorstudio
• Baselabs Create - http://baselabs.de/data-fusion-algorithm-design
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