Uses of Package
com.irurueta.ar.slam
Packages that use com.irurueta.ar.slam
Package
Description
This package contains classes related to Structure From Motion
techniques in order to obtain 3D reconstructed data from matched points
obtained when a camera moves
This package contains classes related to SLAM (Simultaneous Localization and
Mapping) in order to predict the device position, orientation, velocity
and acceleration using sensors such as accelerometers and gyroscopes.
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Classes in com.irurueta.ar.slam used by com.irurueta.ar.sfmClassDescriptionBase class to estimate position, velocity, acceleration and orientation of a device using sensor data such as accelerometers, gyroscopes and magnetic fields (to obtain absolute orientation).Contains control calibration data for a SLAM estimator during Kalman filtering prediction stage.Base class to estimate position, velocity, acceleration and orientation of a device using sensor data such as accelerometers and gyroscopes.
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Classes in com.irurueta.ar.slam used by com.irurueta.ar.slamClassDescriptionBase class for estimating mean and covariance of noise in control values when the system state is held constant (only noise is provided as control input).Base class to estimate position, velocity, acceleration and orientation of a device using sensor data such as accelerometers, gyroscopes and magnetic fields (to obtain absolute orientation).Contains control calibration data for an absolute orientation constant velocity model SLAM estimator during Kalman filtering prediction stage.Processes data to estimate calibration for absolute orientation with constant velocity model SLAM estimator.Contains control calibration data for an absolute orientation SLAM estimator during Kalman filtering prediction stage.Processes data to estimate calibration for absolute orientation SLAM estimator.Contains control calibration data for a SLAM estimator during Kalman filtering prediction stage.Base class for estimating mean and covariance of noise in control values when the system state is held constant (only noise is provided as control input).Listener for implementations of this class.Base class to estimate position, velocity, acceleration and orientation of a device using sensor data such as accelerometers and gyroscopes.Listener for implementations of this class.Contains control calibration data for constant velocity model SLAM estimator during Kalman filtering prediction stage.Processes data to estimate calibration for constant velocity model SLAM estimator.Contains control calibration data for a SLAM estimator during Kalman filtering prediction stage.Processes data to estimate calibration for SLAM estimator.