The fusion of sensors or data is today often used for increasing precision in navigation, position and location of mobile objects in the shipping industry, GPS systems, and smartphones. This is due in part that some information may not be reliable when using the sensor data sources individually. By fusing several independent sensors containing individual information, their combined data may represent precise and usable information or distributions.
The authors are grateful to the ENERSENSE programme and NTNU Team Hydrogen at the Norwegian University of Science and Technology (NTNU) for supporting and helping on this book project.
- 2.Hoover A, Olsen BD (2000) Sensor network perception for mobile robotics. In: Proceedings 2000 ICRA millennium conference IEEE international conference on robotics and automation symposia proceedings (Cat No 00CH37065). IEEE, pp 342–347Google Scholar
- 3.Lamb JJ, Bernard O, Sarker S, Lien KM, Hjelme DR (2019) Perspectives of optical colourimetric sensors for anaerobic digestion. Renew Sustain Energy Rev 111:87–96Google Scholar
- 4.Bishop G, Welch G (2001) An introduction to the Kalman filter. Proc SIGGRAPH, Course 8(27599–23175):41Google Scholar
- 5.Åström KJ, Wittenmark B (2013) Computer-controlled systems: theory and design. Courier Corporation, North ChelmsfordGoogle Scholar
- 6.Shaked U, Theodor YH (1992) sub infinity/-optimal estimation: a tutorial. In: Proceedings of the 31st IEEE conference on decision and control. IEEE, pp 2278–2286Google Scholar