RealSimE

RealSimE™ is an AI-powered mapping platform that transforms aerial and satellite imagery into simulation-ready HD maps, road networks, and 3D digital twins for autonomous driving, ADAS validation, and smart mobility applications. The platform automatically generates lidar-free HD maps and road networks in industry-standard formats, including OpenDRIVE, ensuring seamless interoperability with RoadRunner and related simulation workflows.

RealSimE enables users to create high-fidelity 3D environments anywhere in the world, on demand and at scale, supporting scenario development, risk analysis, synthetic data generation, and simulation testing. Designed for both accuracy and efficiency, the cloud-based platform provides a cost-effective alternative to traditional HD mapping approaches. RealSimE serves automotive OEMs, Tier 1 suppliers, simulation software developers, transportation agencies, and research institutions involved in autonomous driving, ADAS validation, smart mobility, and digital twin development.

RealSimE complements RoadRunner and MATLAB by providing AI-generated, simulation-ready road environments that integrate with related autonomous driving toolchains. RealSimE can directly write scenes in the RoadRunner HD Map (.rrhd) format to rapidly generate realistic driving environments for scenario authoring, simulation, and validation workflows. You can also export OpenDRIVE road networks and associated simulation assets directly from RealSimE for import into RoadRunner. By bridging Earth observation imagery and RoadRunner and MATLAB, RealSimE accelerates the development, testing, and validation of autonomous driving systems and mobility solutions.