Mobility researchers at U-M have devised a new way to test autonomous vehicles that bypasses the billions of miles otherwise needed to consider the vehicles road-ready.
The process, which was developed using data from more than 25 million miles of real-world driving, can cut the time required to evaluate robotic vehicles’ handling of potentially dangerous situations by 300 to 100,000 times. And it could save 99.9 percent of testing time and costs, the researchers say.
