Skip to main content

Simulation tool for prototyping autonomous vehicle related algorithms. Wrapper of the PyChrono simulator.

Project description

WA Vehicle Simulator

The WA Simulator is a powerful, multi-platform, lightweight and user-friendly simulation platform for testing algorithms intended for autonomous robot or vehicle applications. This project is under active development by Wisconsin Autonomous, a student organization at the University of Wisconsin - Madison.

Usage

The WA Simulator is a lightweight tool meant to facilitate algorithm development. As a result, the majority of the actual vehicle dynamics is hidden behind the wa_simulator API. All you need to do is import the module and instantiate the classes.

Default Usage

# Import the wa_simulator
import wa_simulator as wa

def main():
    # Create the system
    sys = wa.WASystem(step_size=1e-3)

    # Create an environment using a premade environment description
    env_filename = wa.WASimpleEnvironment.EGP_ENV_MODEL_FILE
    env = wa.WASimpleEnvironment(sys, env_filename)

    # Create an vehicle using a premade vehicle description
    veh_inputs = wa.WAVehicleInputs()
    veh_filename = wa.WALinearKinematicBicycle.GO_KART_MODEL_FILE
    veh = wa.WALinearKinematicBicycle(sys, veh_inputs, veh_filename)

    # Visualize the simulation using matplotlib
    vis = wa.WAMatplotlibVisualization(sys, veh, veh_inputs, environment=env)

    # Control the vehicle using the arrow keys
    ctr = wa.WAMatplotlibController(sys, veh_inputs, vis)

    # Instantiate the simulation manager
    sim_manager = wa.WASimulationManager(sys, env, veh, vis, ctr)

    # Simulation loop
    step_size = sys.step_size
    while sim_manager.is_ok():
        time = sys.time

        sim_manager.synchronize(time)
        sim_manager.advance(step_size)


if __name__ == "__main__":
    main()

With Chrono

Using Chrono is as simple as changing a few file names and importing the chrono version of the simulator. Even though wa_simulator.chrono is the new import, all default wa_simulator classes are still accessible as seen above. Background about Chrono can be found here.

# Import the wa_simulator
import wa_simulator.chrono as wa

def main():
    # Create the system
    sys = wa.WAChronoSystem(step_size=1e-3)

    # Create an environment using a premade environment description
    env_filename = wa.WAChronoEnvironment.EGP_ENV_MODEL_FILE
    env = wa.WAChronoEnvironment(sys, env_filename)

    # Create an vehicle using a premade vehicle description
    veh_inputs = wa.WAVehicleInputs()
    veh_filename = wa.WAChronoVehicle.GO_KART_MODEL_FILE
    veh = wa.WAChronoVehicle(sys, veh_inputs, env, veh_filename)

    # Visualize the simulation using matplotlib
    vis = wa.WAMatplotlibVisualization(sys, veh, veh_inputs, environment=env)

    # Control the vehicle using the arrow keys
    ctr = wa.WAMatplotlibController(sys, veh_inputs, vis)

    # Instantiate the simulation manager
    sim_manager = wa.WASimulationManager(sys, env, veh, vis, ctr)

    # Simulation loop
    step_size = sys.step_size
    while sim_manager.is_ok():
        time = sys.time

        sim_manager.synchronize(time)
        sim_manager.advance(step_size)


if __name__ == "__main__":
    main()

Command Line Interface

wa_simulator can also be run via a command line interface with the entrypoint wasim. When wa_simulator is installed, this CLI is automatically made available and has subcommands available.

Documentation

License

wa_simulator is made available under the BSD-3 License. For more details, see LICENSE.

Support

Contact Aaron Young for any questions or concerns regarding the contents of this repository.

See Also

Stay up to date with our technical info by following our blog.

Follow us on Facebook, Instagram, and LinkedIn!


Wisconsin Autonomous Logo University of Wisconsin - Madison Crest

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wa_simulator-2.2.0.tar.gz (59.5 MB view details)

Uploaded Source

Built Distribution

wa_simulator-2.2.0-py3-none-any.whl (76.9 kB view details)

Uploaded Python 3

File details

Details for the file wa_simulator-2.2.0.tar.gz.

File metadata

  • Download URL: wa_simulator-2.2.0.tar.gz
  • Upload date:
  • Size: 59.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for wa_simulator-2.2.0.tar.gz
Algorithm Hash digest
SHA256 07833a2f8cc8e7889dbec8dfe9eaf4458a45dc1bc7436e53acfc2dc187fda51e
MD5 9db2b91486659cf495ee73e7bd469059
BLAKE2b-256 a4dd403fedab217ce9f909209a819d123b202f4e3c422149162e41af10fc3145

See more details on using hashes here.

File details

Details for the file wa_simulator-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: wa_simulator-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 76.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for wa_simulator-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 53a6bce4228322b6692721f1af9e97dbe52fd77b1bcc581a439b87edf45ac6d5
MD5 94bcd9f20ae293ed63b7738c1179f4c4
BLAKE2b-256 8a516dbdca775d541b06c937769f078b9eece0a78f8cc16d93bcc7b2b7c5f698

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page