Industry Pain Points

Inefficient
Modeling

Manual methods for AV test environments are slow, costly, and labor-intensive.

Low-Precision
Models

Point clouds lack critical semantics (lanes, signs) for behavior simulation.

Inaccurate
Reconstruction

Road width and grade errors reduce algorithm training effectiveness

Lack Of
Efficient Tools

Handcrafted modeling can't meet AV's massive test-case demands

Product Process

Deeply aligned with user needs, building an optimized experience closed-loop operation

Business Values

Innovating spatial data creation: optimized accuracy, cost-efficiency, and user experience.

Rapid Real-World Road Modeling

Building millimeter-accurate BIM models of urban/highway environments with LiDAR scan
Replacing error-prone manual methods

Cost and Time Savings

Automated modeling slashes scene production costs by 60% versus traditional techniques

Unified Digital Test Library

Standardized BIM database enables cross-region scenario sharing and system interoperability

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