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![VIF vehicle](img/vehicle.jpg)

# show-puntigam

![VIF vehicle](img/show_environment.png)

#### Short Description Python packages to evaluate urban lidar datasets:

  • Simulation of synthetic movements on lidar datasets (Planned)

  • Machine Learning, Deep Learning on LIDAR datasets (Planned)

  • Evaluation of Lidar datasets (Planned)

  • Use for ROS, Autoware (Planned)

#### Installation

pip install show-puntigam

#### Documentation

  • [Contribution guidelines for this project](docs/CONTRIBUTING.md)

  • [Planned route](docs/ROUTE.md)

#### Publications

Please cite the following papers, if you use the publications: * Hartmann et. al. “Urban environments for synthetic movement generation” 2020 (to be published) * … (TODO)

#### VIF Team: * Joachim Hillebrand * Michael Hartmann * Markus Schratter

#### Contact * Michael Hartmann (michael.hartmann@v2c2.at)

#### Acknowledgement SHOW is co-funded by the EU under the H2020 Research and Innovation Programme (grant agreement No 875530). Package is provided by Virtual Vehicle Research GmbH. Virtual Vehicle Research Team: Joachim Hillebrand, Michael Hartmann, Markus Schratter’

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