In 2018, Stanford experts said driverless cars were 90 percent of the way there. The remaining 10 percent meant handling fog and rain, inconsistent road markings, and safe decision-making. Stanford HAI Faculty Affiliate @drmapavone explains how AI helped close that gap. Via Stanford Report: https://news.stanford.edu/stories/2026/09/self-driving-cars-research
Stanford's Pavone explains how AI closed self-driving cars' remaining gap
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Stanford HAI faculty affiliate Marco Pavone explains how AI helped close the final 10 percent of the gap to driverless cars, which experts in 2018 said remained. The remaining challenges included handling fog and rain, inconsistent road markings, and safe decision-making. The explanation appears in a Stanford Report article linked in the post.
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