It was great to visit our @Uber AV Labs team with @sachinkansal and see firsthand the progress we’re making to accelerate the entire AV ecosystem. We launched AV Labs earlier this year with a simple goal: to build the world’s most geographically diverse, high-quality dataset for autonomous driving and make it available to our growing network of 30+ AV partners. Working with @ROUSHPerf, we’re equipping a fleet of vehicles with 14 cameras, 8 solid-state lidars, and 9 radars. These sensors capture a 360 degree, time-synchronized view that can help our AV partners train and improve their self-driving tech across a wide range of real-world environments and conditions. This year, we plan to deploy up to 500 of our data collect vehicles globally, with the first hitting the road this summer. These vehicles will collect data while completing real trips on the Uber platform with Uber drivers, helping us capture the complexity of real-world driving at scale. By combining the scale of our platform with the expertise of our partners, we can accelerate progress across the entire AV ecosystem. Proud of the team making this vision a reality! @UberEng