kiss-icp 1.2.3
Simple yet effective 3D LiDAR-Odometry registration pipeline
Requires Python: >=3.8
Keywords: LiDAR, Localization, Odometry, SLAM

<div align="center">
    <h1>KISS-ICP</h1>
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    <a href=https://user-images.githubusercontent.com/21349875/219626075-d67e9165-31a2-4a1b-8c26-9f04e7d195ec.mp4>Demo</a>
    <span>&nbsp;&nbsp;•&nbsp;&nbsp;</span>
    <a href="https://github.com/PRBonn/kiss-icp/edit/main/README.md#install">Install</a>
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    <a href="https://github.com/PRBonn/kiss-icp/blob/main/ros">ROS 2</a>
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    <a href=https://user-images.githubusercontent.com/21349875/214578180-b1d2431c-8fff-440e-aa6e-99a1d85989b5.mp4
>ROS Demo</a>
    <span>&nbsp;&nbsp;•&nbsp;&nbsp;</span>
    <a href=https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf>Paper</a>
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    <a href=https://github.com/PRBonn/kiss-icp/issues>Contact Us</a>
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[KISS-ICP](https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf) is a LiDAR Odometry pipeline that **just works** on most of the cases withouth tunning any parameter.

  <p align="center">
    <a href="https://user-images.githubusercontent.com/21349875/219626075-d67e9165-31a2-4a1b-8c26-9f04e7d195ec.mp4"><img alt="KISS-ICP Demo" src="https://user-images.githubusercontent.com/21349875/211829074-474bec08-0129-4e34-85e7-62265e44a7de.png"></a>
  </p>
</div>

<hr />

## Install

```sh
pip install kiss-icp
```

If you also want to install all the *(optional)* dependencies, like Open3D for running the visualizer:

```sh
pip install "kiss-icp[all]"
```

## Running the system

Next, follow the instructions on how to run the system by typing:

```sh
kiss_icp_pipeline --help
```

This should print the following help message:
![out](https://user-images.githubusercontent.com/21349875/193282970-25a400aa-ebcd-487a-b839-faa04eeca5b9.png)

### Config

You can generate a default `config.yaml` by typing

```sh
kiss_icp_dump_config
```

Now, you can modify the parameters and pass the file to the `--config` option when running the `kiss_icp_pipeline`.

### Install Python API (developer mode)

If you plan to modify the code then you need to setup the dev dependencies, luckily, the only real
requirements are a modern C++ compiler and the `pip` package manager, nothing else!, in Ubuntu-based
systems this can be done with:

```sh
sudo apt install g++ python3-pip
```

After that you can clone the code and install the python api:

```sh
git clone https://github.com/PRBonn/kiss-icp.git
cd kiss-icp
make editable
```

### Install Python API (expert mode)

If you want to have more controll over the build, you should then install `cmake`, ,`ninja`, `tbb`,
`Eigen`, and `pybind11` as extra dependencies in your system, the ubuntu-way of doing this is:

```sh
sudo apt install build-essential libeigen3-dev libtbb-dev pybind11-dev ninja-build
```

## Citation

If you use this library for any academic work, please cite our original [paper](https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf).

```bibtex
@article{vizzo2023ral,
  author    = {Vizzo, Ignacio and Guadagnino, Tiziano and Mersch, Benedikt and Wiesmann, Louis and Behley, Jens and Stachniss, Cyrill},
  title     = {{KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way}},
  journal   = {IEEE Robotics and Automation Letters (RA-L)},
  pages     = {1029--1036},
  doi       = {10.1109/LRA.2023.3236571},
  volume    = {8},
  number    = {2},
  year      = {2023},
  codeurl   = {https://github.com/PRBonn/kiss-icp},
}
```

## Contributing

We envision KISS-ICP as a comunity-driven project, we love to see how the project is growing thanks to the contributions from the comunity. We would love to see your face in the list below, just open a Pull Request!

<a href="https://github.com/PRBonn/kiss-icp/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=PRBonn/kiss-icp" />
</a>