Mapping startup for autonomous cars aims to automate cities

August 30, 2018 //By Rich Pell
Mapping startup for autonomous cars aims to automate cities
Mapping and data analytics startup Carmera (Brooklyn, NY) has announced that it has raised $20 million in Series B financing in its effort to map cities for self-driving cars.

Carmera, which launched last year, operates an owned and professionally crowdsourced vehicular sensor network that gathers continually updated 3D scene, change detection, and analytics data using LiDAR-equipped vehicles. In addition to the latest funding, the company announced a real-time event management engine and a potential data-sharing partnership with New York City.

The latest funding was led by GV (formerly Google Ventures) with participation from previous investors including Matrix Partners. With this latest funding round, says the company, it is "more committed than ever to maintaining the world’s most robust and accessible street intelligence platform, as a top-tier, independent AV supplier built for the long term."

As part of this, the company unveiled a new real-time event and change management engine that it says propagates critical updates to the core vectors of HD base maps within minutes instead of months, as has been the norm. The system is now being deployed in varied and complicated environments around the world, the company says, including New York, San Francisco, Seoul, and Tokyo,

The system includes events that have "outsized impact on ETA and disengagements" like construction and police activity, as well as critical inventory and intersection control changes such as traffic signals, turn restrictions, lane markings, and more. The company provides API access to this data at all stages, including initial detection in milliseconds, classification within seconds, and fully validated "virtual rails" and traffic annotations redrawn in the base map within minutes.

"In designing this system," says the company, "we learned a lot from our customers who are serious about commercial services - not just R&D or PR demos - and were frustrated by standard definition or incumbent mapping solutions that take months or quarters to update a simple feature. These companies range from fast-moving startups focused on underserved communities, to some of the largest auto OEMs and mobility-as-a-service (MaaS) companies, with large-scale production in mind all over the world."

The company's new


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