GeoMate’s Compact HD Maps offer centimeter-level accuracy, enabling high-performance localization, path planning, and control for autonomous vehicles.
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
Request sample data
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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