Introduction - Neuronav SLAM SDK

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.

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

Traditional SLAM vs Neuronav SDK

Traditional SLAM	Neuronav 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: Days	Time to first map: 2 minutes

How It Works

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

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

Get Started

Quick Start

Run SLAM in 2 minutes

Installation

Detailed setup guide

Examples

Code examples

Quick StartGet up and running with Neuronav SLAM SDK in 2 minutes - no ROS2 expertise required

​2-Line Simplicity