R: Analyze the Impact of Sensor Error Modelling on Navigation Performance

# Analyze the Impact of Sensor Error Modelling on Navigation Performance

## Documentation for package ‘navigation’ version 0.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

compute_coverage | Compute Coverage
compute_mean_orientation_err | Compute mean orientation error
compute_mean_position_err | Compute mean position error
compute_nees | Compute Normalized Estimation Errror Squared (NEES)
example_1_traj_ellipsoidal | Example trajectory 1 in ellipsoidal coordinates
example_1_traj_ned | Example trajectory 1 in NED coordinates
example_2_traj_ellipsoidal | Example trajectory 2 in ellipsoidal coordinates
example_2_traj_ned | Example trajectory 2 in NED coordinates
lemniscate_traj_ned | Lemniscate trajectory in NED coordinates
make_sensor | Construct a 'sensor' object
make_timing | Construct a 'timing' object
make_trajectory | Construct a 'trajectory' object
navigation | Runs "IMU model evaluation" or "INS-GPS-Baro integrated navigation (sensor fusion)"
plot.coverage.stat | Plot multiple 'coverage.stat' objects
plot.navigation | Plot a 'navigation' object
plot.navigation.stat | Plot multiple 'navigation.stat' objects
plot.nees.stat | Plot multiple 'nees.stat' objects
plot.trajectory | Plot a 'trajectory' object
plot_imu_err_with_cov | Plot IMU error with covariances
plot_nav_states_with_cov | Plot navigation states with covariance
print.sensor | Print a 'sensor' object parameters (name, frequency and error model)
X_ellips2ned | Transform position from ellipsoidal to NED coordinates
X_ned2ellips | Transform position from NED to ellipsoidal coordinates