Sensor Fusion

Last Updated: August 18, 2017

Definition - What does Sensor Fusion mean?

Sensor fusion is the use of sensory data from multiple sources, combined into one comprehensive result. Using multiple sensors, planners can generate more robust data models or obtain greater numbers of data points for the purposes of a given system.

Free White Paper: "AI and ML in the Oil and Gas Industry". Take a look at 10 real-world use cases that demonstrate how AI and ML are already being used in the oil and gas industry, and how AI innovation can help renew the industry.

Techopedia explains Sensor Fusion

Many sensor fusion models emulate models in the human body. For instance, anatomically, the data from both eyes goes to the central nervous system. In the same way, multiple sensors conduct streams of information to one data repository for use.

Sensor fusion systems are useful in image processing, in certain kinds of scientific research installations, and in camera systems, as well as many other types of systems. One common example of a sensor array would consist of an accelerometer, a gyroscope and a magnetometer. The fusion of these three data sources provide helpful localization data for a device or other use. Experts believe that sensor fusion will be an important part of the internet of things and embedded systems moving forward.