Tesla is acquiring DeepScale, a computer vision start-up that could help it develop fully driverless vehicles, according to CNBC.
The deal could help Tesla’s goal to deliver cars with advanced driver-assistance systems that are good enough for owners to rent them out as “robotaxis” on an Uber-like platform without drivers. However, like all automakers, Tesla is limited by the computational resources it can build into its vehicles.
DeepScale’s technology was designed to help automakers use low-wattage processors, which are standard in most cars, to power very accurate computer vision. These processors work with sensors, mapping, planning and control systems, to allow cars to make sense of what’s going on around them.
Iandola simply said, “I joined the Tesla #Autopilot team this week. I am looking forward to working with some of the brightest minds in #deeplearning and #autonomousdriving.” Iandola obtained a PhD in electrical engineering and computer science at UC Berkeley, where he worked on deep neural nets that could work on mobile devices with relatively small amounts of memory.
Two other people familiar with the deal confirmed that Tesla had bought the company outright, but declined to disclose the precise terms of the deal.
The acquisition could help fill the talent gap in Tesla’s Autopilot group. Eleven engineers reportedly left the team in the summer after group leader Stuart Bowers left in May.
Even if Tesla can perfect self-driving technology, the regulation governing the use of these features is still evolving.
Tesla did not immediately return a request for comment.
Previously, DeepScale raised $15 million in a Series A round led by Steve Cohen’s venture fund Point72, and Siemens-backed venture fund next47, and a $3 million seed round from Sun Microsystems co-founder Andy Bechtolsheim, Code.org co-founder and investor Ali Partovi, and Jerry Yang’s AME Cloud Ventures among others.
Tesla has acquired at least five other companies besides DeepScale, including SolarCity in 2016, and a battery tech venture, Maxwell Technologies, earlier this year.
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