Aurigent Research

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General Motors initiated supervised autonomous vehicle testing on public roads in selected U.S. states and formalized the safety case governing those operations.

Manually driven fleet data, simulation, closed-course testing, and on-road observation generate traceable evidence for machine-learned driving behavior, with separation between test and product safety cases.

Establishes a phased assurance model for autonomy validation, guiding structured progression from testing to series-vehicle deployment within regulatory and program constraints.

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AR-2026-04-01-V1 · V1.0 · 2026-04-01 · © AURIGENT · CONFIDENTIAL