MULTI-SENSOR ENTEGRATION AND FUSION
Multi-sensor fusion is combining the data, comes from the same object and derived from different sources, made available by machines and systems. The information thus obtained is more meaningful and less ambiguous when these resources are used individually.
These unprecedented developments in the field of sensors require the identification of new models, algorithms, techniques and tools for multi-sensor data use and system integration. In the implementation of the sensor fusion, various methods are used to integrate the data, but the method we use the most is the extended Kalman filter.