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Documentation Index

Fetch the complete documentation index at: https://docs.neuronav.io/llms.txt

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Neuronav SLAM SDK is a Python library that makes SLAM (Simultaneous Localization and Mapping) accessible to everyone. We handle the complexity of ROS2, sensor drivers, and SLAM algorithms so you can focus on building your application.

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2-Line Simplicity

That's All You Need

sensor = RealSenseSensor()
run_slam(sensor, RTABMapSLAM())

Production Ready

Built on battle-tested RTAB-Map with loop closure and global optimization

Multiple Sensors

Intel RealSense and OAK-D Pro cameras supported out of the box

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Traditional SLAM vs Neuronav SDK

Traditional SLAMNeuronav SDK
Install and configure ROS2 ❌Install SDK ✅
Set up camera drivers ❌Run 2 lines of code ✅
Configure SLAM parameters ❌
Handle topic remapping ❌
Manage process lifecycle ❌
Time to first map: DaysTime to first map: 2 minutes

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How It Works

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Use Cases

  • Autonomous Navigation - Mobile robots that need to map and navigate
  • Drone Mapping - Create 3D maps of buildings and environments
  • AR/VR Tracking - Track headset position in 3D space
  • 3D Reconstruction - Scan objects and environments
  • Research - Quickly prototype SLAM applications

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Supported Hardware

Depth Cameras
  • Intel RealSense D435i, D455, D415
  • Luxonis OAK-D Pro, OAK-D Pro W
  • Add your own sensor in under 20 minutes
Computing Platforms
  • Ubuntu 20.04/22.04
  • Docker containers

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Get Started

Quick Start

Run SLAM in 2 minutes

Installation

Detailed setup guide

Examples

Code examples