Sensor fusion, which enables data analysis through the combination of several sensors, is being rapidly adopted in mobile designs such as smartphones, wearables, and internet of things (IoT) devices.

A look at how modern software-defined vehicles use sensor fusion and new EE architectures to support ADAS and autonomous ...

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now ...

In a paper published July 25, in the journal Scientific Reports, researchers from Tri Alpha Energy (TAE), the world’s largest private fusion company, and Google have jointly furthered the ...

NVIDIA announced that the company, along with General Atomics and a team of international partners have built an AI-enabled ...

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 ...

The current image restoration algorithms mainly use a single method to restore haze images over the ocean. It is impossible to perform super-resolution restoration, and at the same time, it is ...

Xsens, a supplier of 3D motion tracking systems, signed an agreement today with Sagem (Safran Group) for the supply of advanced sensor fusion signal processing modules for integration in a new line of ...