In the race to develop a technology that, at its root, is about teaching robots how to understand their surroundings, Aurora just bought itself a fresh set of eyeballs. The developer of self-driving car technology announced Thursday it’s acquiring lidar maker Blackmore, whose laser scanning tech offers the unusual and very helpful ability not just to detect nearby objects but to discern their velocity. The parties declined to disclose the terms of the deal.

Alex Davies covers autonomous vehicles and other transportation machines for WIRED.

In self-driving, the problems don’t get any bigger than perception. If a robot can reliably know what’s around it, deciding what to do—whether to turn the wheel and which pedal to work, for example—gets a whole lot easier. That’s what has fueled a booming market for lidar, which according to one report will generate more than $8 billion in annual revenue in 2032.

It also explains why Blackmore’s technology stands out among the scores of lidar makers vying for the business of Aurora and its competitors. The Bozeman, Montana–based outfit, which started up a decade ago to do work for the defense industry, uses a “frequency modulated continuous wave” system, also known as a Doppler lidar. When the infrared light hits an object and bounces back, the system determines both how far away it is (based on how long the round trip takes, like any lidar system) and its velocity. Knowing where something is headed and how fast is prized data. It means that if your lidar doesn’t find that object again a millisecond later—hard to guarantee when you’re cruising down the highway and tracking things 250 meters away or more—it can still make a good guess about where it is and where it’s going. Blackmore has at least one Doppler lidar competitor in Aeva, founded in early 2017 by a pair of former Apple engineers.

Aurora, led by a trio of self-driving industry veterans, has teams in Pittsburgh, Palo Alto, and San Francisco. Kevin Meynell/Aurora

“These guys are the real deal,” Aurora CEO Chris Urmson says of Blackmore. “They’ve got technology we think no one else has.” The deal requires regulatory approval because Urmson is Canadian.

Urmson led Google’s self-driving car team through its early years, and cofounded Aurora in late 2016 with Sterling Anderson, who helmed the development of Tesla’s Autopilot system, and Drew Bagnell, a machine learning specialist who spent time with Uber’s autonomy wing. The startup hasn’t said much about its business model, but has partnerships with Volkswagen, Hyundai, and electric car startup Byton. In February it landed $530 million in Series B funding, a round led by Sequoia Capital and joined by Amazon. That cash made the Blackmore deal feasible, Urmson says.

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The Blackmore team will stay in Bozeman but work closely with Aurora’s perception engineers (based in Palo Alto, San Francisco, and Pittsburgh) once the deal is done, Urmson says. Together, they should find a balance between the kind of data that’s most helpful for a robot learning to drive and what’s possible in the realm of physics. Eventually, they’ll face the question that has beguiled every lidar maker trying to scale up its production: how to mass-produce a lidar that can withstand the rigors of the road, without making it so expensive that not even the hardest-working robo-taxi could amortize its cost.