Uber wants to turn its millions of drivers into a sensor grid for self-driving companies | TechCrunch

"Uber's ambition is to equip human drivers' vehicles with sensors to collect real-world data for autonomous vehicle companies. This is seen as a natural extension of their AV Labs program."

"The limiting factor for AV development is no longer the underlying technology; the bottleneck is data. Companies like Waymo struggle to access the necessary data for training their models."

"Uber's plan to transform its driver network into rolling data-collection platforms could provide a scale of data that individual AV companies cannot achieve on their own."

"Naga emphasized the need for regulatory clarity regarding sensor usage and data sharing across different states to successfully implement this ambitious plan."

Uber plans to enhance its AV Labs program by outfitting human drivers' vehicles with sensors to gather real-world data for autonomous vehicle companies. This initiative aims to address the data bottleneck in AV development, as many companies struggle to collect sufficient data for training their models. Currently, Uber operates a small fleet of sensor-equipped cars, but the goal is to leverage its millions of drivers globally to create a vast data-collection network, significantly benefiting the AV industry.

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