mavspy 1.0.1

The MSU Autonomous Vehicle Simulator

MavsPy

Python interface to the MSU Autonomous Vehicle Simulator.

MAVS is a software library for simulating autonomous ground vehicles in off-road terrain. MAVS simulates the sensors, vehicle, and environment. It uses physics-based models to simulate camera, lidar, and radar interacting with environmental features such as rain, dust, and fog.

Once installed, examples of scripts running different autonomous simulations can be found on the MAVS-Examples github.

Citing MAVS

If you use MAVS for your research, please cite the following:

• Hudson, C., Goodin, C., Miller, Z., Wheeler, W., & Carruth, D. (2020, August). Mississippi state university autonomous vehicle simulation library. In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (pp. 11-13).
• Goodin, C., Carruth, D. W., Dabbiru, L., Hudson, C. H., Cagle, L. D., Scherrer, N., ... & Jayakumar, P. (2022, June). Simulation-based testing of autonomous ground vehicles. In Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure 2022 (Vol. 12115, pp. 167-174). SPIE.

Other Documentation

Software documentation for the MAVS library is here:

https://mavs-documentation.readthedocs.io/en/latest/

The MAVS-API is documented here:

https://cgoodin.gitlab.io/msu-autonomous-vehicle-simulator/