Trajectopy is a Python package with an optional graphical user interface for empirical trajectory evaluation.
Using Mapbox, you can visualize your trajectories on a map:
Full version (with GUI):
pip install "trajectopy[gui]"Python package only:
pip install trajectopyhttps://gereon-t.github.io/trajectopy/
Trajectopy offers a range of features, including:
- Interactive GUI: A user-friendly interface that enables seamless interaction with your trajectory data, making it easy to visualize, align, and compare trajectories.
- Alignment: An advanced trajectory alignment algorithm that can be tailored to the specific application and supports a similarity transformation, a leverarm and a time shift estimation.
- Comparison: Absolute and relative trajectory comparison metrics (ATE and RPE) that can be computed using various pose-matching methods.
- Data Import/Export: Support for importing and exporting data, ensuring compatibility with your existing workflows.
- Customizable Visualization: Powered by Plotly or Matplotlib, trajectopy offers a range of interactive plots that can be customized to your needs. (Demo)
A simple web application is available at gereon-t/trajectopy-web that allows you to use the core functionality of Trajectopy using Docker.
If you use this library for any academic work, please cite our original paper.
@article{Tombrink2024,
url = {https://doi.org/10.1515/jag-2024-0040},
title = {Spatio-temporal trajectory alignment for trajectory evaluation},
author = {Gereon Tombrink and Ansgar Dreier and Lasse Klingbeil and Heiner Kuhlmann},
journal = {Journal of Applied Geodesy},
doi = {doi:10.1515/jag-2024-0040},
year = {2024},
codeurl = {https://github.com/gereon-t/trajectopy},
}