The Biggest Gap in Driverless Trucking Isn’t Tech. It’s Safety Validation Nauto’s Stefan Heck says autonomous trucks are advancing quickly but proving they’re safe enough for large-scale deployment may be the industry’s hardest challenge. - Autonomous trucks are rapidly advancing in technology according to Stefan Heck of Nauto. - The industry's main challenge is validating the safety of these vehicles for widespread use. - Proving safety standards for driverless trucks is crucial for their large-scale deployment. *Summarized by AI Autonomous trucking is no longer a question of “if.” It’s becoming a question of how fast fleets, regulators and technology developers can solve one stubborn issue: proving the trucks are safe enough to scale nationwide. According to Stefan Heck, CEO of Nauto, much of the public conversation around autonomous vehicles still focuses on sensors, artificial intelligence and remote operations. But, Heck argues, the industry’s biggest challenge is something less flashy: validating safety in the real world. “The last 3% of autonomous driving is a thousand times more difficult than the first 50%,” Heck said. “People talk about 99% reliability, but if you look at truly safety-critical systems like airplanes or nuclear reactors, they operate at seven nines of reliability.” Autonomous Trucks Are Advancing Faster Than Many Realize Heck believes the industry has reached an inflection point. Major autonomous developers now have manufacturing partnerships in place, including Aurora’s work with Continental and Waymo’s expansion with Hyundai platforms. That means deployment numbers could rise quickly over the next two years. “We’re going to see tens of thousands — collectively maybe 100,000 to 200,000 self-driving vehicles — on the road within the next two years,” Heck said. But he cautioned against confusing early growth with widespread adoption. Compared to the roughly 12 million trucks operating in the U.S., autonomous systems will still represent only