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Get your first SLAM system running in 2 minutes with just 2 lines of Python code.

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Prerequisites

  • Ubuntu 20.04/22.04 (or Windows 11 with WSL2)
  • Python 3.8+
  • Intel RealSense or OAK-D Pro camera
  • SDK installed (see installation guide)

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Your First SLAM Application

1. Create a new Python file 
touch my_first_slam.py
2. Add these 2 lines 
from neuronav import RealSenseSensor, run_slam, RTABMapSLAM

sensor = RealSenseSensor()
run_slam(sensor, RTABMapSLAM())
3. Run it 
python3 my_first_slam.py
That’s it! Your robot is now creating a 3D map in real-time.

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With 3D Visualization

Add visualize=True to see the map being built: 
from neuronav import RealSenseSensor, run_slam, RTABMapSLAM

sensor = RealSenseSensor()
run_slam(sensor, RTABMapSLAM(), visualize=True)
Open http://localhost:8765 in your browser to view the live 3D map.

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Using OAK-D Pro Camera

Simply change the sensor: 
from neuronav import OAKDSensor, run_slam, RTABMapSLAM

sensor = OAKDSensor()
run_slam(sensor, RTABMapSLAM())

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What’s Next?

Configuration

Customize sensor and SLAM settings

More Examples

See advanced use cases

Add Your Sensor

Integrate custom cameras