Sensor fusion—the intelligent combination of data from several sensors for the purpose of improving application or system performance—has the MEMS industry abuzz with promise. With potentially ...

New research describes multimodal sensor fusion for AI-based fault detection in 3D printing.

MatrixSpace extends its advanced, portable drone detection portfolio with the launch of the multi-sensor MatrixSpace Fusion 360, verifying threats by fusing radar, optical, and RF/Remote ID sensor ...

Sensor fusion has been around for many years and is ubiquitous in mobile device designs. Sensor fusion “fuses” data from different types of sensors to improve measurement accuracy, such as for motion ...

In the real world, multiple types of modal information originate from the external environment and interrelate to form a whole. Multi-modal data fusion technology integrates data from diverse sources ...

Some forms of data fusion will be low-cost, while others will be complex and potentially expensive. For some use cases, the results may be well worth the added cost. For other use cases, the ...

A key strategy for fully autonomous vehicles is the ability to fuse together inputs from multiple sensors, which is essential for making safe and secure decisions, but it’s turning out to be much ...

Multisensor data fusion is a key technology in modern systems. It unites data obtained by several sensors to obtain a more complete and accurate picture of an environment or situation. Networks that ...

Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation.

Though we’re mostly unaware of it, our senses relentlessly work together to guide us through the world. Our vision, hearing, and sense of touch and smell create mental images of the environment at ...