diff --git a/android/src/main/java/com/dumon/plugin/geolocation/fusion/SensorFusionManager.kt b/android/src/main/java/com/dumon/plugin/geolocation/fusion/SensorFusionManager.kt
deleted file mode 100644
index 08a8d68..0000000
--- a/android/src/main/java/com/dumon/plugin/geolocation/fusion/SensorFusionManager.kt
+++ /dev/null
@@ -1,83 +0,0 @@
-package com.dumon.plugin.geolocation.fusion
-
-import android.util.Log
-import kotlin.math.*
-
-class SensorFusionManager(
-    private val onFusedPositionUpdate: (Double, Double) -> Unit = { _, _ -> }
-) {
-
-    // Kalman filter state
-    private var latEstimate = 0.0
-    private var lonEstimate = 0.0
-    private var latErrorEstimate = 1.0
-    private var lonErrorEstimate = 1.0
-
-    private val processNoiseBase = 0.01
-    private val measurementNoise = 3.0 // typical GPS error in meters
-
-    private var isFirstUpdate = true
-    private var lastUpdateTimestamp: Long = 0L
-
-    private var lastSpeed = 0.0
-    private var lastHeadingRad = 0.0
-
-    fun updateGpsPosition(lat: Double, lon: Double) {
-        val currentTimestamp = System.currentTimeMillis()
-        val dtSeconds = if (lastUpdateTimestamp > 0) {
-            (currentTimestamp - lastUpdateTimestamp) / 1000.0
-        } else {
-            1.0
-        }
-        lastUpdateTimestamp = currentTimestamp
-
-        val processNoise = processNoiseBase * dtSeconds
-
-        if (isFirstUpdate) {
-            latEstimate = lat
-            lonEstimate = lon
-            isFirstUpdate = false
-        } else {
-            // Kalman update for latitude
-            val latKalmanGain = latErrorEstimate / (latErrorEstimate + measurementNoise)
-            latEstimate += latKalmanGain * (lat - latEstimate)
-            latErrorEstimate = (1 - latKalmanGain) * latErrorEstimate + processNoise
-
-            // Kalman update for longitude
-            val lonKalmanGain = lonErrorEstimate / (lonErrorEstimate + measurementNoise)
-            lonEstimate += lonKalmanGain * (lon - lonEstimate)
-            lonErrorEstimate = (1 - lonKalmanGain) * lonErrorEstimate + processNoise
-        }
-
-        Log.d("SENSOR_FUSION", "Fused Lat: $latEstimate, Lon: $lonEstimate")
-
-        onFusedPositionUpdate(latEstimate, lonEstimate)
-    }
-
-    fun updateMotionEstimate(speed: Double, headingRad: Double) {
-        lastSpeed = speed
-        lastHeadingRad = headingRad
-    }
-
-    fun predictForwardPosition(secondsAhead: Double): Pair<Double, Double> {
-        val distance = lastSpeed * secondsAhead
-        val R = 6371000.0
-
-        val deltaLat = (distance * cos(lastHeadingRad)) / R
-        val deltaLon = (distance * sin(lastHeadingRad)) / (R * cos(Math.toRadians(latEstimate)))
-
-        val predictedLat = latEstimate + Math.toDegrees(deltaLat)
-        val predictedLon = lonEstimate + Math.toDegrees(deltaLon)
-
-        return Pair(predictedLat, predictedLon)
-    }
-
-    fun reset() {
-        latEstimate = 0.0
-        lonEstimate = 0.0
-        latErrorEstimate = 1.0
-        lonErrorEstimate = 1.0
-        isFirstUpdate = true
-        lastUpdateTimestamp = 0L
-    }
-}
\ No newline at end of file