Skip to main content

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.

class_diagram

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.

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

Pose plot 3D

plot3d

Mutli pose plot 3D

multi

License

Software License Agreement (GNU GPLv3 License), refer to the LICENSE file.

Sharing is caring! - Roland Jung

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cnspy_trajectory-0.2.11.tar.gz (44.1 kB view details)

Uploaded Source

Built Distribution

cnspy_trajectory-0.2.11-py3-none-any.whl (64.3 kB view details)

Uploaded Python 3

File details

Details for the file cnspy_trajectory-0.2.11.tar.gz.

File metadata

  • Download URL: cnspy_trajectory-0.2.11.tar.gz
  • Upload date:
  • Size: 44.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.10

File hashes

Hashes for cnspy_trajectory-0.2.11.tar.gz
Algorithm Hash digest
SHA256 cff6af77a4558f3d7ba88fd3ede0129d1ea8aa7a85a0cc7c1b4b58c7502db9f5
MD5 1e00ae9d1dec9e362aa8fb4d4ef7db57
BLAKE2b-256 f77092c1f045df2773708e8f670fdd0c4415eee0eb14bec476ec52e165186069

See more details on using hashes here.

File details

Details for the file cnspy_trajectory-0.2.11-py3-none-any.whl.

File metadata

File hashes

Hashes for cnspy_trajectory-0.2.11-py3-none-any.whl
Algorithm Hash digest
SHA256 a0020566cda4544ffa5abe1354aafd356b02dc2a055e343ea5c6272dbc26b28d
MD5 a9277120870e449cad489ec3d43b27fe
BLAKE2b-256 a8ff56f773c71ea693202ebcc2651b32fddf4869ce09a4a037c5162a2293e08c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page