Uber Unveils Prototype Car for Autonomous Vehicle Data Collection
Hızlı Bakış
- Uber revealed a prototype Hyundai Ioniq 5 equipped with advanced sensors, designed to collect driving data for its autonomous vehicle partners.
- The company plans to deploy 500 such vehicles globally this year to gather millions of miles of data for training self-driving software.
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Uber is developing a new fleet of sensor-equipped vehicles to collect driving data for its autonomous vehicle partners. This initiative is part of its new AV Labs division, launched earlier this year, and follows the sale of its previous AV division in 2020.
Uber revealed on Wednesday a prototype car that it plans to use to scoop up real-world driving data that can be used by its growing list of autonomous vehicle partners such as Avride, Waymo, and WeRide.
The vehicle is not some radical design. Rather, it’s a Hyundai Ioniq 5 fitted with an incredible number of sensors on the top and sides, as the company first told TechCrunch back in January. The sensor-laden vehicle may not look particularly groundbreaking, but it does mark a few milestones for the company.
This is the first vehicle Uber has assembled itself (with help from a partner) since the company sold its autonomous vehicle division to Aurora in 2020. It also represents progress on Uber’s new AV Labs division, which launched earlier this year to use sensor-equipped Uber cars to collect and then share data with its 30-and-counting autonomous vehicle technology partners.
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.
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Uber will deploy 500 sensor-equipped Hyundai EVs globally this year.
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50 of these vehicles will be on the road by the summer.
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The fleet will collect 2 million miles per month of data.
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Açık Sorular
- What are the specific geographical locations where the 500 vehicles will be deployed?
- What are the detailed technical specifications of the sensor suite beyond the number of cameras and lidar?
- What is the timeline for the full rollout of the 500 vehicles beyond the initial 50 by summer?
- What is the financial investment Uber has made in the AV Labs division and this new fleet?






