The transition of 4D radar from optional to essential is driven by its ability to enhance autonomous driving safety in all weather conditions. By 2030, 4D radar will surpass 50% market share, driven ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

FORVIA HELLA and NXP Semiconductors are collaborating on high-resolution automotive radar, the companies announced at CES in ...

We saw fancy radar that images almost as clearly as lidar, lidar almost as cheap as radar, and more.

Physical interception can be effective but introduces debris risk and requires strict safety zones. It also demands ...

Old satellites and other space junk fall toward Earth every day, and the shock waves they create could be used to track their ...

The market for automotive LiDAR sensors is expanding due to advancements in autonomous vehicles and stringent safety ...

A growing space debris problem leads scientists to use seismic sensors to follow sonic booms from uncontrolled reentries ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...