DeepMap, an autonomous driving technology company, has announced a service for companies who are building hands-free Level 2+ driving systems using crowd-sourced maps.
The service named DeepMap HDR (High-Definition Reference), will be complementing existing perception-based Level 2+ autonomy platforms by validating and improving crowd-sourced mapping data. It registers and aligns myriad crowd-sourced perception outputs to generate and update live, high-fidelity maps with absolute accuracy and better relative accuracy.
According to the company, there are at least 15 OEMs that have either started producing or are planning to come up with Level 2+ ADAS systems this year and next year. The service will help these companies to speed up this process with accuracy, and efficiency of their crowd-sourced mapping initiatives while simultaneously increasing Operational Design Domain (ODD), safety, and reliability.
DeepMap that was founded in 2016 and based in Palo Alto, is working on three important elements: precise high-definition (HD) mapping, ultra-accurate real-time localization, and the serving infrastructure to support massive global scaling. DeepMap HDR is an important milestone in its vision to deliver global high-fidelity maps and services for all levels of autonomy, said the company in a media release.
