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Vegvisir



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Vegvisir is a SLAM and Localization system for 3D LiDARs and 4D Imaging RADARs.

vegvisir


Overview

Vegvisir operates in two modes via a pluggable backend architecture:

  • SLAM - incremental map building with pose graph optimization and loop closure detection.
  • Localization - querying against prebuilt maps with Kalman filter pose refinement.

The C++ core provides Python bindings via pybind11 and a ROS2 node interface.

Getting Started

Vegvisir requires an external odometry estimate. The level of integration depends on your sensor modality:

  • LiDAR - The ROS2 wrapper integrates KISS-ICP as a built-in odometry source.
  • RADAR - An external odometry source must be provided. This can be provided by Sensrad with the Oden perception software which estimates odometry using the Hugin D1 4D Imaging Radar.

For commercial inquiries, contact Sensrad at sales@sensrad.com.

Installation

Interface Instructions
C++ library cpp/README.md
Python package python/README.md
ROS2 nodes ros2/README.md

Acknowledgement

This project is inspired by and initially based on KISS-SLAM. Please cite their work in your research.

Contributing

We welcome contributions. Please open a Pull Request to get started.

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A Combined SLAM and Localization System for both RADAR and LiDAR

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