GeoMate’s Compact HD Maps offer centimeter-level accuracy, enabling high-performance localization, path planning, and control for autonomous vehicles.
By fusing aerial imagery with AI, our solution provides redundancy forperception systems and ensures robust operation across complex driving scenarios.
Autonomous navigation depends on high-definition maps that extend a vehicle’s perception range and support real-time decision-making. GeoMate’s Compact HD Maps are built for ADAS and AD systems, serving as a foundational layer for accurate localization, adaptive path planning, semantic understanding, and safety-critical control systems.
Detailed lane geometry and road topology
Crosswalks, stop lines, intersections & traffic control
Roadside features and static objects for sensor fusion
Traffic rules and semantic classifications
High-precision localization for sensor fusion and redundancy
Reliable path planning in urban and dynamic environments
Improved perception through static map overlays
Optimized performance under GPS-denied conditions
Unlike traditional LiDAR-based HD maps, which are bulky and expensive to maintain, GeoMate’s Compact HD Maps provide:
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Reduced File Size
Megabytes vs. gigabytes. Vehicle storage and cloud delivery
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AI-Driven Automation
Faster updates and scalable across cities and fleets
Broad Compatibility
Ready for ASAM OpenDrive, Lanelet2, OSM, and GeoJSON
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Cost-Effective Mapping
70% less expensive than field-collected LiDAR workflows
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Step 1
Data Acquisition & Preparation
Premium aerial imagery processed and calibrated for our advanced AI mapping.
Step 2
Detection, Segmentation, & Fusion
Algorithms identify roads, intersections, traffic control, and lane features with centimeter precision.
Step 3
Semantic Mapping & Traffic Rules
Our system encodes rules, signage, and lane logic for compliant AD/ADAS behaviors.
Step 4
Real-World Construction
QA-validated map packages generated for simulation or real world deployment.
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