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Volume 619 Issue 7971, 27 July 2023

Night vision

From robot helpers to autonomous cars, one key requirement for machines engaged in social interaction is the ability to perceive their surroundings. Well-lit conditions present few problems, but darkness currently poses considerable obstacles. In this week’s issue, Zubin Jacob and his colleagues present an AI-assisted approach that greatly improves night vision for machines. Called HADAR (heat-assisted detection and ranging), the system combines thermal physics and infrared imaging with machine learning to discern an object in pitch darkness as though it is illuminated by broad daylight. HADAR exploits thermal radiation laws to perceive texture and depth in darkness, giving greater accuracy than conventional thermal-imaging systems.

Cover image: Xin Zhou, Fanglin Bao & Zubin Jacob

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