Trajectory in SE(3) space with utilities.
Project description
The cnspy_trajectory Package
A Trajectory object consists of a matrix of positions, orientations (Quaternions) and associated timestamps.
The object can be created by passing the these three matrices or by passing a Pandas DataFrame object containing them.
The DataFrame will be converted using the class TUMCSV2DataFrame.
A trajectory object offers some conversions, load/store methods, plot, spatial transformations, etc.
A TrajectoryEstimated is a specialization of a Trajectory, holding a covariances of the position and orientation to the timestamps, which can be loaded form a DataFrame too.
The TrajectoryPlotter offers methods to visualize a (or multiple) Trajectory objects.
Installation
Install the current code base from GitHub and pip install a link to that cloned copy
git clone https://github.com/aau-cns/cnspy_trajectory.git
cd cnspy_trajectory
pip install -e .
or the official package via
pip install cnspy-trajectory
Dependencies
It is part of the cnspy eco-system of the cns-github group.
- numpy
- matplotlib
- pandas
- scipy
- cnspy_numpy_utils
- cnspy_csv2dataframe
- cnspy_spatial_csv_formats
- cnspy_trajectory
- matplotlib.pyplot
PlotTrajectory
trajectory$ python PlotTrajectory.py -h
usage: PlotTrajectory.py [-h] [--filename FILENAME] [--result_dir RESULT_DIR] [--verbose] [--plot_3D] [--plot_pose] [--show_plots] [--save_metrics]
PlotTrajectory: tool to save plots and metrics of a trajectory
optional arguments:
-h, --help show this help message and exit
--filename FILENAME csv filename
--result_dir RESULT_DIR
directory to store results]
--verbose
--plot_3D
--plot_pose
--show_plots
--save_metrics
Examples
Please refer to the unit-tests Trajectory_Test and TrajectoryEstimated_Test in Trajectory/TrajectoryEstimated.py.
For plotting options to the unit-test TrajectoryPlotter_Test.
Pose plot
Pose plot 3D
Mutli pose plot 3D
License
Software License Agreement (GNU GPLv3 License), refer to the LICENSE file.
Sharing is caring! - Roland Jung
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