GridSim is an autonomous driving simulator engine that uses a car-like robot architecture to generate occupancy grids from simulated sensors.

GridSim arXiv paper link

Demo below:

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Clone the repository:

$ git clone https://github.com/RovisLab/GridSim.git

The packages needed for install can be found inside requirements.txt:

pip install -r requirements.txt

Each scenario cand be found in a separate folder:

• GridSim_City_Scenario: GridSim simulation engine inside an aerial map from Stockholm, Sweden.
• GridSim_Configurable_Map: GridSim simulation engine inside any desired map. For this build we used an aerial map from Stockholm, Sweden. Additional features: - mini-map - map and mini-map scaling factor - route tracking on mini-map
• GridSim_Seamless: GridSim simulation engine inside a seamless (never-ending) network of roads.

The main function can be found inside each folder, inside car_kinematic_model.py

• Pygame - A python programming language library for making multimedia applications like games built on top of the SDL library.
• Tensorflow - An open source machine learning framework for everyone.
• Numpy - NumPy is the fundamental package for scientific computing with Python.