AR Navigation Simulator | mysimulator.uk

AR Navigation

GPS accuracy 6 m

IMU drift rate 0.8 m/s²

Walking speed 1.4 m/s

Fused error

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Raw GPS error

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Next waypoint

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Waypoints hit

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How it works

AR navigation overlays a route onto the real world by fusing two imperfect sensors. GPS gives an absolute fix but only a few times a second and with several metres of scatter. The phone's IMU (accelerometer + gyroscope) reports motion at hundreds of Hz but, integrated over time, its position estimate drifts because every tiny error accumulates. Sensor fusion — typically a Kalman filter — blends the two: it dead-reckons with the IMU between GPS fixes, then pulls the estimate back toward each new GPS reading by an amount that depends on how much it currently trusts each source.

Accuracy ≈ GPS accuracy + IMU drift(t)
x̂ = x̂_predict + K·(z_gps − x̂_predict)
K = σ²_process / (σ²_process + σ²_gps)

GPS accuracy — the radius of scatter around the true position each time a raw fix arrives; smaller is a better signal.
IMU drift rate — how fast the dead-reckoned estimate wanders away from truth between GPS fixes.
Sensor fusion — toggling it off shows the raw GPS marker jumping to a new noisy sample roughly once a second, with no smoothing in between.
Walking speed — faster motion covers more ground between GPS fixes, giving IMU drift more time to build up before the next correction.

Real-world relevance: this exact trade-off is why AR-glasses navigation still asks you to glance down occasionally, and why manufacturers keep adding cheaper, lower-drift IMUs and multi-constellation GPS chips — every improvement on either side tightens the accuracy the fused estimate can guarantee.

Fused estimate Raw GPS fix Ground truth

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