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🧪 Emerging Technology Spatial Computing Simulation

Interactive spatial-computing simulator: watch an AR/VR headset's dead-reckoning IMU pose drift over time, then see visual-inertial fusion correct it using tracked feature points in the room, with live drift-error and feature-tracking readouts.

AI & Machine Learning2DModerate60 FPS📱 Mobile-adapted
emerging-technology-spatial-computing-simulation ↗ Open standalone

Every augmented- and virtual-reality headset has to answer one question continuously: where exactly am I in the room, right now? This simulator builds the core spatial-computing mechanic behind that answer — visual-inertial odometry. A virtual headset moves through a room scattered with trackable surface features. Its inertial sensor (IMU) integrates motion at high rate but drifts unboundedly on its own, shown as a diverging red ghost path; its camera periodically re-locks onto the fixed feature points it can currently see, snapping the fused estimate — the violet device you fly around — back toward the true path. Tune the IMU's bias noise, the camera's correction rate, and how feature-rich the environment is, and watch in real time how visual-inertial fusion keeps a device's sense of its own position bounded indefinitely, exactly as ARKit, ARCore and HoloLens do on real hardware.

⚙ Under the hood

This simulation explores spatial computing concepts, demonstrating how augmented reality overlays digital information onto the user's view of the real world. It highlights the key technologies and applications driving this emerging field.

Spatial ComputingSLAM AlgorithmSensor Fusion

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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