Tutorial A: Sensor data fusion, principles and applications

Sensor Data Fusion deals with the synergistic combination of data made available by various sources such as sensors in order to provide a better understanding of a given scene. The use of sensor/data fusion concept has advantages such as “Redundancy”, “Complementary”, “Timeliness” and “Less Costly Information”. The following issues will be presented in this tutorial: • Background• Sensor/Data fusion overview • Definition & Formulation • Fusion: A Fission inversion model • Fusion characterization: ○ Application domain ○ Fusion objective ○ Fusion process input/output characteristics ○ Sensor suite configuration • Different Techniques of Sensor fusion ○ Conventional Approaches ○ Knowledge based Systems/Intelligent Approaches • Different Level Fusion Architectures • Different Fusion Model Architectures • Integration of Mechatronics & Sensor Data Fusion • Some typical applications of Sensor Data Fusion in Robotics & Mechatronics.