General Motors Builds Three-Tier AI Pipeline to Mine Rare Safety Events from Fleet Video at Scale
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SHERIDAN, WYOMING -- June 25, 2026 -- General Motors has published details of EMWU, an offboard data pipeline designed to extract rare, safety-critical driving scenarios from millions of miles of autonomous vehicle fleet footage without proportional increases in compute cost. GM's autonomous vehicle fleet generates continuous sensor and camera streams across hundreds of test vehicles, and the volume of that data has made brute-force AI analysis economically and technically unworkable. EMWU separates the problem into three distinct tiers — domain projection, candidate retrieval, and deep visual reasoning — each calibrated to spend compute only where it is warranted.