diff --git a/docs/index.rst b/docs/index.rst
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+++ b/docs/index.rst
@@ -16,4 +16,5 @@ perception methods in automated driving.
    :maxdepth: 2
    :caption: Contents:
 
+   sources/usage/quickstart
    sources/api/modules
diff --git a/docs/sources/usage/quickstart.rst b/docs/sources/usage/quickstart.rst
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@@ -0,0 +1,40 @@
+Quickstart
+==========
+
+First clone and enter the repository:
+
+``git clone https://github.com/ekut-es/LidarAug && cd LidarAug``
+
+Local Installation
+------------------
+
+To install the module locally you need to first install the dependencies.
+
+- `PyTorch/libtorch <https://pytorch.org/get-started/locally/>`__
+- `boost <https://www.boost.org/>`__
+- `OpenMP <https://www.openmp.org/resources/openmp-compilers-tools/>`__
+- `cnpy <https://github.com/TomSchammo/cnpy>`__
+- `pybind11 <https://github.com/pybind/pybind11>`__
+
+Easiest way is to run:
+
+``python3.11 -m pip install -r requirements.txt``
+
+And install `boost <https://www.boost.org/>`__, `OpenMP <https://www.openmp.org/resources/openmp-compilers-tools/>`__ and `cnpy <https://github.com/TomSchammo/cnpy>`__ by following the installation instructions of the respective project.
+
+After installing all the necessary dependencies run ``make install``.
+
+**Optional:** You can test the installation by running ``make testpy``.
+
+Docker
+------
+
+Alternatively you can use `Docker <https://www.docker.com/>`__.
+
+To build the Docker image simply run ``make docker``.
+
+This will create a Docker image with the module and all the necessary dependencies.
+
+You can run it using ``docker run -it lidar_aug:latest bash``
+
+**NOTE:** For those using ARM run ``make docker-arm`` instead to build the docker image.