The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, which allow for combining data from multiple sensors while accounting for noise and uncertainty to produce a more accurate overall picture of a system or environment. Neural networks (NNs) are […]
Sensor Fusion
How is sensor fusion used in medicine?
Sensor fusion is most frequently discussed in smartphone and automotive control applications. However, the fusion aspect was initially created for military analysis. From the analysis standpoint, for improved decision-making, medical applications can and have benefited from sensor fusion. One example is in cancer detection and focused surgery. Specifically, the detection of and surgery for prostate […]
What sensors are used to monitor volcanoes?
Monitoring volcanoes is complex, and it’s an important activity to ensure public safety in many areas of the world. It involves monitoring ground deformations, earthquakes and vibrations, volcanic gas, rock and water chemistry, and remote sensing from satellites. Volcano monitoring needs to be implemented on a continuous basis or in near-real-time and is an extreme […]
What does sensor-activated mean?
Some of the earliest uses for sensors that emerged over a hundred years ago involved direct actuation for control. Think of the mercury thermostat. A thermally responsive coil moves with changes in temperature and tilts a mercury chamber until it closes a set of contacts to turn on a heater in the home or office […]
