Uber to put 500 data-collection vehicles on the road this year

Uber said Wednesday that it plans to roll out 500 of these kitted-out Hyundai EVs globally this year. That fleet will be able to collect “2 million miles per month of high-fidelity data” for robotaxis. Uber expects 50 of these vehicles to be on the road by the summer.

The Ioniqs are fitted with 14 cameras, eight solid-state lidar sensors, and nine radars through a partnership with Roush Performance, which will handle the vehicle retrofits. All of that data will be routed through Nvidia’s Dual Drive Thor autonomous vehicle computer. Uber appears open to changing that sensor suite, noting that it will continue to update it as its partners’ needs evolve.

Uber said its aim is to develop the world’s most geographically diverse set of training data specifically geared towards autonomous driving. If successful, this dataset will give its AV partners a 360-degree, time synchronized stitched view that can be used to train self-driving software.

The company already has a head start. Uber told TechCrunch it has collected data from a fleet of thousands of specially-equipped vehicles in dozens of cities. The company also captured data from hundreds of Lucid Air vehicles operating in the U.S. and Europe over the past two years.

Uber’s AV Labs division is analyzing these two tranches of data and is preparing to collect even more with its modified Ioniq 5 vehicles, which will be used by its fleet partners.