DeepMap, a Palo Alto, CA-based provider of an HD mapping and localization platform, raised $25m in Series A funding.
The round, which brougth total funding to $32m, was led by Accel, with participation from Andreessen Horowitz and GSR Ventures.
The company intends to use the funds to further expand and optimize its HD mapping and localization platform, and continue to selectively expand its team of mapping and self-driving people.
Led by James Wu, CEO and co-founder, DeepMap has developed a HD mapping and localization solution for self-driving vehicles which leverages expertise across several disciplines, including massively scaled mapping, sensor fusion, machine learning, computer vision, SLAM, embedded systems, computational geometry and geometric modeling, and cloud infrastructure. The company’s service delivers the capabilities necessary for self-driving cars to navigate in the real world by addressing precise high-definition mapping, ultra-accurate real-time localization and the serving infrastructure to support global scaling.
DeepMap partners with auto industry companies to enable them to meet their self-driving launch deadlines, and to then safely increase the level of autonomy for their vehicles over time.