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@ -20,12 +20,16 @@ Advanced sensing
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- Can we combine sensors for model more complex states?
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- Can we filter sensor measurements to improve the data quality?
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> [!INFO] this is what is happening, there is a lot of processing on top of the raw data. we combine sensors to get better results
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Sensor Fusion
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- The idea:
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- Combine (fuse) sensor to achieve better results
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- Better Location (When signal ist lost, not enough satellites, ..)
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- Better Orientation (Less drift (gyroscope), less error prone (compass), ..)
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> [!INFO] e.g., fuse wifi signal with GPS to make AGPS.
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Sensor Fusion
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- Example for Orientation
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- Combine strength of several integrated sensors
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@ -34,8 +38,26 @@ Sensor Fusion
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- Gyroscope output is applied only for orientation changes in short time intervals (high-pass filtering)
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- Accelerometer/Magnetometer is used as support information over long periods of time for absolute orientation (low pass filtering)
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> [!INFO] when phone is still, use the magnetometer, when moving faster use the gyro
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> low pass filter, lets the low frequencies through
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> high pass filter, lets high frequencies through
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Dead Reckoning
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-
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- Dead Reckoning
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- Estimates current position using
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- Previously known position
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- Speed
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- Orientation/direction
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- Elapsed time
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- Used in all kinds of navigation (Marine, Aerial, Car, Robot, Pedestrian, .. )
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- Starting with a reference point (known position)
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- Detect relative movements
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- Smartphone sensors can be used
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- Accelerometer – step detection (distance)
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- Magnetometer and gyroscope (orientation)
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- Barometer (level changes)
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