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-0.2.5.tar.gz (37.2 kB view details)

Uploaded Source

Built Distribution

cnspy_trajectory-0.2.5-py3-none-any.whl (53.1 kB view details)

Uploaded Python 3

File details

Details for the file cnspy_trajectory-0.2.5.tar.gz.

File metadata

  • Download URL: cnspy_trajectory-0.2.5.tar.gz
  • Upload date:
  • Size: 37.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.10

File hashes

Hashes for cnspy_trajectory-0.2.5.tar.gz
Algorithm Hash digest
SHA256 feb7717ad913203d2f4b097ef5436d9b9ce80fb35d911c20a902e3427793473c
MD5 ebd8685031897f1380b217fbd676a7d3
BLAKE2b-256 412262d17737e64fb3578a1640d3f3a1db76f8cb437d796217c8aae70ae65a63

See more details on using hashes here.

File details

Details for the file cnspy_trajectory-0.2.5-py3-none-any.whl.

File metadata

File hashes

Hashes for cnspy_trajectory-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f90855c831b5af0f092c38b7c498256c2434f8aace00a86c540c6032820ceaea
MD5 ea82a4b83d2f71ca6d01c69ec423f81e
BLAKE2b-256 f186afae06b49a352aa91a6090a918f973a2f33d0d90d2c866af5ca61587744e

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