Our Compact HD Maps are created using high-resolution geospatial imagery and deep learning algorithms, delivering consistent precision within a 10 cm positioning accuracy — revolutionizing traditional mapping approaches for smart mobility and simulation.
Learn MoreGeoMate’s Compact HD Map is our proprietary alternative to traditional LiDAR-based HD maps. These AI driven maps maintain up to 10 cm accuracy while offering a fraction of the cost, complexity, and storage size. Designed for simulation, AD testing, and smart city applications, Compact HD Maps are:
Lightweight & easily integrated into digital workflows
Scalable across cities and regions globally
Continuously updatable without field surveys
Aerial imagery meets AI. See your city as never before. Our machine learning algorithms transform high-resolution aerial and satellite imagery into detailed infrastructure insights, revealing patterns and opportunities for smarter urban development.
Re-imagine what's possible when planning decisions are powered by precision.
Our technology uses deep learning models to autonomously detect and map 35+ urban features with high accuracy.
This AI-first approach reduces processing time and manual labor while preserving centimeter-level precision in dense and dynamic city environments.
We automatically assign semantic labels and encode traffic rules, minimizing the need for manual topologies.
This streamlines map creation and ensures compatibility with regulatory and navigation systems.
In the final phase, our platform constructs simulation-ready and GIS-compatible maps validated through layered QA.
These Compact HD Maps are optimized for use in AD, simulation, urban planning, and smart city analytics.
Aerial imagery + AI
Field collected LiDAR
≈ 10 cm
≈ 5-10 cm
Low
High
Weeks or less
Months or manual revisit
OpenDrive, Lanelet2, GeoJSON, OSM, RRHD
Typically custom
High (national-level)
Low (project-by-project)
Light (compact format)
Heavy (point cloud volumes)
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