EyeDAR Streetlight Radar Expands Self-Driving Cars' View
TL;DR Summary
Rice University researchers developed EyeDAR, a compact orange radar sensor mounted on streetlights that acts as an external set of eyes for autonomous vehicles, maintaining detection in fog, rain, and low light. Using a 3D-printed Luneburg lens and analog computing, EyeDAR conveys sensing data to vehicles, extending their view while cutting reliance on onboard computing; in tests it resolved target directions 200 times faster than existing digital radar, suggesting potential city-wide deployment across stop signs and traffic signals to improve safety.
Topics:science#analog-computing#autonomous-vehicles#eyedar#infrastructure-based-radar#innovation#luneburg-lens
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- Biomimetic EyeDAR looks to boost self-driving safety The Engineer
- This low-cost orange-sized sensor could be what self-driving cars need to hit public roads Digital Trends
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