DeepMap Announces Roadmemory, a Highly-Scalable and Economical Mapping Service, Enabling Hands-off Driving Everywhere

• New Service Provides Automakers With Fully-Crowdsourced, Automated, and Fresh Maps for Most Autonomous Driving Scenarios, Including Highways and Urban Roads

DeepMap, Inc., a global leader in autonomous driving technology, announced DeepMap RoadMemory, a crowdsourced mapping service.

RoadMemory enables automakers to accelerate the creation and deployment of large-scale digital maps via data collected from their own fleets of passenger vehicles and trucks. It is designed to expand geographic coverage more quickly and support hands-off autonomous driving features everywhere.

DeepMap is announcing RoadMemory in response to demand from vehicle makers seeking large-scale, high-performance, and economical mapping capabilities to support increased autonomy for upcoming production vehicles. Improved autonomy includes driver support features such as highway assist, intelligent braking, and traffic jam pilot.

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RoadMemory will automatically build maps using crowdsourced data collected from on-car sensors such as cameras, radars, and newly-available automotive-grade LiDARs. RoadMemory is sensor-agnostic, providing a high degree of flexibility to automakers who require an open system and a choice of sensors to meet their needs.

RoadMemory will work hand-in-hand with DeepMap HDR (High-Definition Reference), DeepMap’s highest-fidelity mapping offering. RoadMemory enables automakers to augment HDR’s market-leading fidelity and ground truth accuracy with the scalable coverage, low latency, and superior economics of crowdsourcing.

James Wu, Co-Founder and CEO of DeepMap, said: “RoadMemory addresses the immediate autonomy needs of near-term production vehicles while providing a natural roadmap for future higher levels of autonomy. DeepMap is offering a future-proof ‘best of both worlds’ approach which leverages the sensor capabilities available in cars today while increasing the fidelity of maps over time as cars become more capable.”

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Mark Wheeler, Co-Founder and CTO of DeepMap, said: “Automated driver assistance and Level 2+ through Level 3 capabilities have become a critical battleground for automakers. Camera and LiDAR sensors are starting to ramp and proliferate for near-term production models. In tandem, automakers are evaluating and choosing their map source. DeepMap is providing a future-proof mapping solution for crowdsourced data that will enable more advanced functionality over time as the vehicle sensors improve and coverage expands.”

Wheeler added: “Building maps has been a large and expensive undertaking until now. DeepMap leverages state-of-the-art AI and mapping technologies built from the ground up for machines, by those same machines. Now it is possible to create the large-scale, fresh, accurate, open, and economical maps the transportation industry needs to advance to higher levels of autonomy.”

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