GM begins supervised public-road testing of next-generation automated technology

This week, our next-generation automated tech, trained on millions of real-world miles and stress-tested millions of times in simulated scenarios, begins supervised public-road testing on limited access highways across California and Michigan. Soon, more than 200 manual and supervised development vehicles will operate in live traffic environments. Each vehicle will operate with a trained test driver at the wheel who is capable of taking manual control at any time. This marks a significant transition from manual data collection to active automated technology testing on public roads.

GM data collection vehicles have driven more than one million miles across 34 states. That dataset now powers the next-generation automated technology entering supervised testing. This phase represents a critical step in GM’s disciplined, incremental approach to bringing automated driving technology to personal vehicles at scale.

Last October, GM announced it will introduce eyes-off driving, a self‑driving system in its domain, which is not dependent on continuous driver vigilance for safety, starting in 2028 with the Cadillac ESCALADE IQ, and followed by additional gas and electric vehicles. GM will launch it on highways first and then driveway-to-driveway.

This launch will be powered by GM’s new centralized computing architecture, which consolidates vehicle intelligence from dozens of distributed modules. Eyes-off capability will be available from premium Cadillacs to mainstream Chevys, and everything in between, without rebuilding the system from scratch for each vehicle.

Behind the eyes-off system is the advantage of real-world learning at GM scale. Super Cruise has accumulated more than 800 million customer-driven miles across 23 vehicles. Layer on top of that Cruise’s more than 5 million fully autonomous miles logged without a human driver, in some of the most complex urban environments in the country.

Real-world testing is essential to build a trustworthy system. Data captured during this new phase will feed directly back into GM’s development cycle, improving the AI driving model and overall system robustness. To complement real-world data, GM’s simulation environment enables engineers to simulate roughly 100 years of human driving every single day.

The GM Engineering blog has launched to share technology innovations like the ones powering GM’s vision for intelligent vehicles—follow along for the latest updates from our teams. For a full technical overview of GM’s development approach to autonomy, see our most recent post here.