Energy & Green Tech

New method monitors grid stability with hydropower project signals

Scientists at Oak Ridge National Laboratory and the University of Tennessee, Knoxville, have developed an algorithm to predict electric grid stability using signals from pumped storage hydropower projects. The method provides ...

Engineering

AI data fusion could boost sustainability

A new framework that combines artificial intelligence (AI) and data fusion techniques could improve product inspection for sustainability and within the context of the so-called circular economy, according to research published ...

Hi Tech & Innovation

Optimizing gesture recognition system design

Research published in the International Journal of the Digital Human reveals a new model for computerized human gesture recognition. The tool, VirSen1.0, developed by Kana Matsuo, Chengshuo Xia, and Yuta Sugiura of the Department ...

Electronics & Semiconductors

New wearable sensor sets record for solar power efficiency

Sweat, like blood, can tell us a lot about a person's health. And conveniently, it's a lot less invasive to collect. This is the premise behind the wearable sweat sensors developed by Wei Gao, assistant professor of medical ...

Security

AI can help protect vital networks, say experts

International experts in artificial intelligence have proposed using AI to help protect critical infrastructure including power, water and communication networks.

page 1 from 6

Sensor fusion

Sensor fusion is the combining of sensory data or data derived from sensory data from disparate sources such that the resulting information is in some sense better than would be possible when these sources were used individually. The term better in that case can mean more accurate, more complete, or more dependable, or refer to the result of an emerging view, such as stereoscopic vision (calculation of depth information by combining two-dimensional images from two cameras at slightly different viewpoints).

The data sources for a fusion process are not specified to originate from identical sensors. One can distinguish direct fusion, indirect fusion and fusion of the outputs of the former two. Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and human input.

Sensor fusion is also known as (multi-sensor) Data fusion and is a subset of information fusion.

This text uses material from Wikipedia, licensed under CC BY-SA