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Dataset collected at the Kidney Lawn at QUT. Two laps of the lawn completed on a Samsung Galaxy S23 Ultra in portrait orientation via MATLAB Sensor Streamer.

To properly split the laps between Run_1 and Run_2 we supply split_laps.py which uses GPS location euclidian distance to determine the best split.

Time synced accelaration, orientation and GPS position data averaged across the dataset are also available.

                  Device: 'Margaux's S23 Ultra'
        AvailableCameras: {'back' 'back-1' 'front' 'front-1'}
        InitialTimestamp: '14-Oct-2025 12:33:23.890'
              SampleRate: 10 Hz
        
        AccelerationSensorEnabled: 1    (16798 Logged values)
     AngularVelocitySensorEnabled: 1    (3421 Logged values)
            MagneticSensorEnabled: 1    (3431 Logged values)
         OrientationSensorEnabled: 1    (3420 Logged values)
            PositionSensorEnabled: 1    (337 Logged values)
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