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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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