DeepMap is unveiling RoadMemory in response to vehicle manufacturers' needs for large-scale, high-performance, and cost-effective mapping capabilities to support enhanced autonomy in upcoming production cars
FREMONT, CA: DeepMap, a global leader in autonomous driving technology, has declared that DeepMap RoadMemory, a crowdsourced mapping service.
Useing data collected from their own fleets of passenger vehicles and trucks, RoadMemory enables automakers to speed the construction and deployment of large-scale digital maps. It is intended to rapidly expand geographic coverage and support hands-free, autonomous driving features everywhere.
DeepMap is unveiling RoadMemory in response to vehicle manufacturers' needs for large-scale, high-performance, and cost-effective mapping capabilities to support enhanced autonomy in upcoming production cars. Driver assistance technologies such as highway aid, intelligent braking, and traffic jam pilot contribute to increased autonomy.
RoadMemory will generate maps automatically based on crowdsourced data acquired from onboard sensors such as cameras, radars, and newly available automotive-grade LiDARs. RoadMemory is sensor-agnostic, giving automakers a great degree of flexibility when it comes to meeting their demands with an open system and a variety of sensors.
DeepMap HDRTM (High-Definition Reference), DeepMap's highest-fidelity mapping product, will work in tandem with RoadMemory. RoadMemory enables automakers to supplement HDR's market-leading fidelity and ground truth accuracy with crowdsourcing's scalable coverage, low latency, and superior economics.
James Wu, Co-Founder and CEO of DeepMap, stated, "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."