SEMANTIC-MAPPING | POINT-CLOUD-ALIGNMENT | POSITIONING-BASELINE
Establishing the Spatial Ground Truth
Autonomous navigation at Level 4/5 requires more than standard GPS. Phase 1 focuses on creating high-definition (HD) semantic maps that include centimeter-accurate lane boundaries, traffic signs, and stationary obstacles. This serves as the "Prior Knowledge" for the vehicle's localization algorithms.
LiDAR Point-Cloud Synchronization
We audit the alignment of multi-pass LiDAR scans to create a static 3D digital twin of the urban environment, ensuring that the vehicle can localized itself even in GPS-denied areas.
Semantic Metadata Layer
Injecting logical traffic rules into the geometry—mapping intersections, turn restrictions, and speed zones directly into the spatial fabric of the HD map.