How does this skill handle AR content persistence?

It provides strategies for visual positioning and cloud anchor management to ensure AR content remains anchored to the same real-world location across sessions.

What platforms does this AR skill support?

The skill provides implementation patterns and code samples for major industry platforms including ARCore (Android), ARKit (iOS), and WebXR.

Does it include coordinate conversion logic?

Yes, it includes Python-based mathematical models for converting global GPS coordinates (WGS84) into local AR world coordinates (East-Up-North).

Is this suitable for high-precision indoor navigation?

Yes, the skill covers various accuracy tiers, including vision-based SLAM and beacon patterns that achieve sub-meter precision for indoor environments.

Location-Based AR Experience

Name: Location-Based AR Experience
Author: organvm-iv-taxis

byorganvm-iv-taxis

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Mobile Development

Designs and implements location-aware augmented reality experiences using geospatial anchoring, GPS integration, and spatial computing patterns.

This skill provides comprehensive guidance for developers building augmented reality applications tied to specific real-world coordinates. It covers the full spectrum of AR positioning—from city-scale GPS navigation to centimeter-precise visual SLAM—offering implementation patterns for geofencing, coordinate system conversion (WGS84 to local AR space), and cross-platform integration with ARCore and ARKit. It is particularly useful for creating persistent digital twins, outdoor interactive tours, and world-scale spatial installations that require high-precision content placement and environmental awareness.

Key Features

01Persistent AR content data models and spatial loading strategies

02Advanced geofencing logic for proximity-based content triggering

03Geospatial anchoring and WGS84 to local coordinate conversion

042 GitHub stars

05Visual Positioning System (VPS) patterns for ARCore and ARKit

06Support for hybrid positioning combining GPS and computer vision

Use Cases

01Creating site-specific digital art installations that persist in the real world

02Building city-scale AR navigation and historical walking tours

03Developing location-triggered gamified marketing and retail experiences

Key Features

01Persistent AR content data models and spatial loading strategies

02Advanced geofencing logic for proximity-based content triggering

03Geospatial anchoring and WGS84 to local coordinate conversion

042 GitHub stars

05Visual Positioning System (VPS) patterns for ARCore and ARKit

06Support for hybrid positioning combining GPS and computer vision

Use Cases

01Creating site-specific digital art installations that persist in the real world

02Building city-scale AR navigation and historical walking tours

03Developing location-triggered gamified marketing and retail experiences