Niantic Spatial: Mapping the Planet's Mesh

Leveraging crowdsourced visual data to enable centimeter-level global localization and persistent AR.

1. Visual Positioning System Pipeline

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Extraction
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Matching
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Optimization
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Occlusion

Local Feature Extraction

The device camera captures raw visual data. Computer vision models detect high-contrast keypoints converted into invariant mathematical descriptors.

2. AR Workload Intensities

Comparing resource requirements for local interaction vs. global spatial mapping.

Semantic Meshing

High VRAM and GPU compute required for real-world physics and accurate occlusion.

Point Cloud Sync

Low storage, but requires continuous network synchronization for global alignment.

Strategic Partnership Opportunities

The Lightship platform connects creators across retail, urban planning, and media verticles.

Sponsored Wayspots

Drive foot traffic via in-game rewards at VPS-mapped physical locations.

Brand Integration Deduced: needs validation
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City-Scale Digital Twins

Create tourism and public info dashboards accessible via mobile AR.

Smart City Deduced: needs validation
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Global IP Extensions

Power AR experiences for fans to interact with characters in their neighborhoods.

Media Partnership News →