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Glossary / Expanded definition

Sensor fusion

Combining information from multiple sensors

Sensor fusion combines measurements from different sensors to estimate a system’s state or surroundings. In robotics, it can combine cameras, IMUs, LiDAR, and other inputs. (Analog Devices: robotic localization)

By · Educational reference

01 / UNDERSTAND THE TERM

Sensor fusion: what it means.

Robotic localization can combine inertial measurements with observations from other sensors. Different sensors provide complementary information, which an estimation method can use to determine motion or location. (Analog Devices: robotic localization)

Installing additional sensors is not the same as correctly fusing their output. Measurements need appropriate interpretation, calibration and timing within the chosen estimation framework. (Analog Devices: robotic localization)

02 / PRACTICAL CONTEXT

Put the definition to work.

A navigation system might combine inertial motion readings with visual observations. Calibration and consistent interpretation of the measurements remain important. (MathWorks: SLAM)

03 / READING DOCUMENTATION

Questions to ask next.

Use these questions as a reading checklist, not as a device-selection recommendation. Exact manufacturer documentation takes priority over a general definition.

  • What each sensor actually measures
  • Calibration, coordinates and timing
  • Estimation method and validation conditions

For the broader explanation, explore the electronics inside robots. This page defines the term; the companion guide connects it to the rest of the system.

04 / QUICK ANSWERS

Common Sensor fusion questions.

Will combining sensors always eliminate measurement error?

No universal guarantee follows from fusion. The result depends on the sensors, their error behavior and the estimation method. Validate the complete system in its intended conditions. (Analog Devices: robotic localization)

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