Welcome to the world of BeamNGpy, where you can harness the power of BeamNG.tech through Python! This official library bridges the gap between programming and vehicle simulation, letting you remotely control vehicles in one of the most advanced driving simulators available. Whether you’re in academia or a developer, BeamNGpy is an exciting tool to explore.
Table of Contents
Features
BeamNGpy is packed with incredible features that provide flexibility and ease of use:
- Remote Control of Vehicles: You can control vehicles remotely, adjusting steering, lights, and gear shifting like a seasoned driver.
- AI-controlled Vehicles: BeamNG.tech includes AI for automatic vehicle control, capable of navigating to waypoints or following user-defined paths.
- Dynamic Sensor Models: Equip vehicles with simulated sensors such as cameras and lidars to collect realistic data.
- Access to Road Network: Utilize the geometry of roads in the simulation for better situational awareness.
- Multiple Clients: Multiple BeamNGpy clients can connect to a running simulation, allowing a cooperative experience.
Prerequisites
Before diving into the installation, ensure you have BeamNG.tech installed on your machine. This is essential for BeamNGpy to function properly.
Installation
Ready to install? You can easily add BeamNGpy to your Python environment using pip or conda:
- For pip, simply run: pip install beamngpy
- For Anaconda users, execute: conda install beamngpy -c conda-forge
- To upgrade, use: pip install –upgrade beamngpy or conda update beamngpy -c conda-forge –no-pin
Usage
Let’s explore some practical usage. Imagine you have a mini-traffic simulation where vehicles are like players on a chess board, where each move must be strategic for the game to proceed smoothly. Below is a simple code snippet to get you started:
from beamngpy import BeamNGpy, Scenario, Vehicle
# Instantiate BeamNGpy instance, running the simulator from the given path
bng = BeamNGpy('localhost', 64256, home='path/to/bngtech', user='path/to/user')
# Launch BeamNG.tech
bng.open()
# Create a scenario in west_coast_usa called example
scenario = Scenario('west_coast_usa', 'example')
# Create an ETK800 vehicle with the license plate PYTHON
vehicle = Vehicle('ego_vehicle', model='etk800', license='PYTHON')
# Add it to our scenario at this position and rotation
scenario.add_vehicle(vehicle, pos=(-717, 101, 118), rot_quat=(0, 0, 0.3826834, 0.9238795))
# Place files defining our scenario for the simulator to read
scenario.make(bng)
# Load and start our scenario
bng.scenario.load(scenario)
bng.scenario.start()
# Make the vehicles AI span the map
vehicle.ai.set_mode('span')
# Wait for user input to finish
input('Hit enter when done...')
In this analogy, you are the mastermind behind the simulation, controlling each piece on the board to navigate through the challenges ahead. Each command can lead to a unique outcome in your simulation journey!
Compatibility
Keep in mind that BeamNG.tech is constantly evolving. While BeamNGpy maintains compatibility with minor versions, it’s important to check for version mismatches, as not all updates are backward-compatible. Do ensure you’re working with the latest versions wherever possible.
Troubleshooting
If you encounter issues while using BeamNGpy, here’s a handy troubleshooting guide:
- Connection Issues: Make sure to complete the initial setup steps and that both BeamNG.tech and Python are allowed through Windows Firewall.
- Launching Issues: If BeamNG.tech fails to launch, check for spaces in your path configuration. Change to a path without spaces or edit the startup.ini file.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.