<ul><li>Detecting ice and snow with algorithms is a challenging task for artificial intelligence due to the complex physics of light interactions with these materials.</li><li>Snow is made up of intricate ice crystal structures that exhibit a phenomenon called multiple scattering, which further complicates detection.</li><li>Ice, on the other hand, reflects light in a focused manner, acting more like a mirror, which can confuse algorithms expecting a uniform appearance.</li><li>To overcome these challenges, researchers are exploring multiple sensors and context-aware algorithms to improve the identification of hazardous winter conditions.</li></ul>

Why Is It So Hard to Identify Ice and Snow with Algorithms?

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