Quick Takeaways
- High-definition lane-level maps are becoming a core enabler for safer ADAS and automated driving.
- TomTom’s new Orbis Lane Model Maps focus on scalable AI production and real-time road intelligence.
On January 2, TomTom Orbis Lane Model Maps were introduced as a next-generation mapping solution designed to support both automated driving and advanced navigation systems. Built on a highly automated and scalable AI-driven map production framework, the solution is positioned as a single, high-precision reference for vehicle intelligence applications.
High-Fidelity Mapping for Safer Driving Decisions
TomTom Orbis Lane Model Maps deliver wide geographic coverage combined with continuously refreshed road data. This ensures that advanced driver-assistance systems can interpret lane structures, road geometry, and regulatory information with greater accuracy, enabling safer and more reliable vehicle behavior in dynamic traffic environments.
Key capabilities include:
Scalable AI Mapping for ADAS Deployment
A major strength of TomTom Orbis Lane Model Maps lies in their ability to scale efficiently across multiple cities and regions. The automated map production process reduces update cycles and lowers operational costs, allowing manufacturers to deploy advanced features without the complexity of manual data maintenance.
This approach helps ensure:
Supporting Sensor Fusion and Real-Time Awareness
Automotive manufacturers can integrate TomTom Orbis Lane Model Maps with in-vehicle sensor data to enhance real-time road understanding. By combining map intelligence with camera and radar inputs, vehicles gain a clearer picture of lane layouts, curvature, and speed constraints, supporting smoother guidance and more confident driving decisions.
As automated driving systems continue to evolve, high-definition lane-level mapping is becoming essential for delivering consistent performance across diverse driving scenarios.
High-Fidelity Mapping for Safer Driving Decisions
TomTom Orbis Lane Model Maps deliver wide geographic coverage combined with continuously refreshed road data. This ensures that advanced driver-assistance systems can interpret lane structures, road geometry, and regulatory information with greater accuracy, enabling safer and more reliable vehicle behavior in dynamic traffic environments.
Key capabilities include:
- Detailed lane-level road representation
- Frequently updated speed limits and road attributes
- Consistent data quality across urban and intercity networks
Scalable AI Mapping for ADAS Deployment
A major strength of TomTom Orbis Lane Model Maps lies in their ability to scale efficiently across multiple cities and regions. The automated map production process reduces update cycles and lowers operational costs, allowing manufacturers to deploy advanced features without the complexity of manual data maintenance.
This approach helps ensure:
- Faster expansion into new markets
- Reduced total cost of ownership for OEMs
- Continuous alignment with changing road conditions
Supporting Sensor Fusion and Real-Time Awareness
Automotive manufacturers can integrate TomTom Orbis Lane Model Maps with in-vehicle sensor data to enhance real-time road understanding. By combining map intelligence with camera and radar inputs, vehicles gain a clearer picture of lane layouts, curvature, and speed constraints, supporting smoother guidance and more confident driving decisions.
As automated driving systems continue to evolve, high-definition lane-level mapping is becoming essential for delivering consistent performance across diverse driving scenarios.
Company Press Release
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