Uber is preparing to revolutionize the autonomous vehicle industry by transforming its massive fleet of drivers into a sophisticated sensor network. Chief Technology Officer Praveen Neppalli Naga unveiled this ambitious strategy Thursday at TechCrunch's StrictlyVC event in San Francisco, explaining how the ride-sharing giant plans to leverage real-world data from millions of vehicles to accelerate self-driving technology development.

The initiative builds upon Uber's recently launched AV Labs program, creating an unprecedented data source that could give the company a significant competitive advantage. By equipping rideshare vehicles with collection technology, Uber aims to gather vast amounts of driving information across diverse conditions, effectively crowdsourcing the millions of miles of data needed to train autonomous systems while continuing to operate its core transportation business.