Engineering

How digital twins could protect manufacturers from cyberattacks

Detailed virtual copies of physical objects, called digital twins, are opening doors for better products across automotive, health care, aerospace and other industries. According to a new study, cybersecurity may also fit ...

Internet

A greener internet of things with no wires attached

Emerging forms of thin-film device technologies that rely on alternative semiconductor materials, such as printable organics, nanocarbon allotropes and metal oxides, could contribute to a more economically and environmentally ...

Electronics & Semiconductors

Smarter sensor sniffs out target gases

A chemical sensor endowed with artificial intelligence can learn to detect certain gases in the air with high sensitivity and selectivity. The device, developed at KAUST, uses machine learning to differentiate the gases according ...

Engineering

Advances in in-sensor image memorization and encoding

It has been more than a decade since Gartner Research identified the Internet of Things—physical objects with sensors, processing ability and software that connect and exchange data through the Internet and communications ...

Engineering

New programmable materials can sense their own movements

MIT researchers have developed a method for 3D printing materials with tunable mechanical properties, which can sense how they are moving and interacting with the environment. The researchers create these sensing structures ...

Robotics

Robot dog learns to walk in one hour

A newborn giraffe or foal must learn to walk on its legs as fast as possible to avoid predators. Animals are born with muscle coordination networks located in their spinal cord. However, learning the precise coordination ...

Electronics & Semiconductors

Smart suit wirelessly powered by a smartphone

Athletes are always on the lookout for new ways to push the limits of human performance and one needs to first pinpoint their current limits objectively if they seek to overcome them. A team of researchers from the National ...

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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