(Bloomberg) -- A mile away from where Google builds the maps used by people around the world, a 25-person startup is trying to do something similar for robots.
DeepMap Inc., which was founded by mapping veterans of Alphabet Inc., is building systems enabling self-driving cars to steer through complex cityscapes. DeepMap plans to license its map-building software to automakers and technology companies looking to teach cars how to drive.
The company recently raised a $25 million funding round led by Accel, adding to the $7 million it raised last year. In the chase to secure the investment, the firm penned an 80-page white paper on DeepMap's technology.
Investors are eager to grab a piece of self-driving cars after big startup deals, such as General Motors Co.'s acquisition of Cruise Automation and Uber Technologies Inc.'s purchase of Otto. But new entrants face sizable competition, whether in autonomous technology or mapping. In addition to Silicon Valley juggernauts Alphabet, Apple Inc. and Uber, Amsterdam's TomTom NV is building its own 3-D maps, as is HERE, a project jointly owned by several automotive giants and Intel Corp.
Andreessen Horowitz and GSR Ventures also invested in DeepMap. Martin Casado, the lead Andreessen partner on DeepMap, said startups can compete with much larger companies because their businesses have fewer conflicts. This enables them to work with just about anybody and focus on the software, which typically has higher profit margins. "DeepMap isn't bound to a particular application like ride-sharing, and they're not bound to a particular company," Casado said.
DeepMap fuses images from digital cameras with data collected using a laser device known as lidar to build detailed 3-D maps. It can identify street signs, billboards and the height of a curb. The 3-D maps complement the sensors by giving the cars a detailed awareness of the environment outside the car's view. James Wu, who started the company with his former Google Maps colleague Mark Wheeler, said he hopes to have three customers by the end of the year, while generating as much as $10 million in revenue.
"Having the map lets us define for the robot the rules of the world," said Wu, who has also worked on mapping projects at Apple and Baidu. "It's very easy to make a prototype car that can make a few decisions around a few blocks, but it's harder when you get out into the world."
A diaspora of autonomous driving entrepreneurs from Google has spread throughout Silicon Valley. Google X founder Sebastian Thrun just spun an autonomous car startup out of his online learning company Udacity. Top engineers Chris Urmson and Bryan Salesky have set up companies called Aurora Innovation and Argo AI, respectively. Another engineer, Anthony Levandowski, is the focus of an embittered legal battle between his former employer Alphabet and Uber over allegations that he stole intellectual property from the search giant when he left to form his startup, Otto.
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