Sensor data fusion is an important term in the fields of automation, industry and Industry 4.0, as well as the Internet of Things. It refers to the intelligent merging of data collected by different sensors. The aim is to get a more accurate or complete picture of a situation than would be possible with a single sensor.
For example, imagine a modern car that uses radar and ultrasonic sensors in addition to cameras. All these sensors measure different things: the camera detects colours and shapes, the radar measures distances, and ultrasound helps with parking. It is only through sensor data fusion that this information is combined and evaluated immediately, providing you with a reliable driver assistance system.
However, the principle of sensor data fusion is not only used in cars. It also finds application in industry, for example in quality control: various sensors check a product for size, material or temperature. The fusion of sensor data therefore leads to reliable and fast decisions, without a human having to check everything individually. This increases safety, saves time and ensures efficient processes.
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