Uber plans to turn driver fleet into sensor network for autonomous vehicle data collection
By
Connie Loizos
29d ago· 3 min readenNews
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Summary
Uber plans to outfit its millions of human drivers' cars with sensors to collect real-world data for autonomous vehicle companies and other AI training purposes. The plan, revealed by CTO Praveen Neppalli Naga at TechCrunch's StrictlyVC event, extends the company's AV Labs program announced in January 2025. This strategy leverages Uber's existing driver fleet as a distributed sensor network to gather physical-world data that AV companies need for training self-driving systems.
Key quotes
· 2 pulledThat is the direction
Praveen Neppalli Naga, Uber's chief technology officer, revealed the plan in an interview at TechCrunch's StrictlyVC event in San Francisco on Thursday night, describing it as a natural extension of a nascent program the company announced in late January called AV Labs.
Praveen Neppalli Naga, Uber's chief technology officer, revealed the plan in an interview at TechCrunch's StrictlyVC event in San Francisco on Thursday night, describing it as a natural extension of a nascent program the company announced in late January
