Back to today’s briefing

Story perspectives

Revolutionary EyeDAR Radar Enhances Autonomous Vehicle Safety

3/5/2026

48 11 Full Breakdown

Summary

Story summary

Rice University researchers developed EyeDAR, a compact radar sensor for autonomous vehicles.
EyeDAR uses a 3D-printed Luneburg lens to focus radar signals and detect obstacles in poor visibility.
The sensor can be mounted on streetlights and traffic signals, delivering real-time data to vehicles.
Tests show EyeDAR resolves target directions 200 times faster than traditional radar and works reliably in all weather.

1 of 1

Story summary

Rice University researchers developed EyeDAR, a compact radar sensor for autonomous vehicles.
EyeDAR uses a 3D-printed Luneburg lens to focus radar signals and detect obstacles in poor visibility.
The sensor can be mounted on streetlights and traffic signals, delivering real-time data to vehicles.
Tests show EyeDAR resolves target directions 200 times faster than traditional radar and works reliably in all weather.