Simulation tool for prototyping autonomous vehicle related algorithms.
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 Wisconsin Autonomous for any questions or concerns regarding the contents of this repository.
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