Python package to evaluate urban lidar datasets.
Project description
![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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