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Planar Graph-Based SLAM Using the Complex Number Representation

License: GNU Lesser General Public License v3.0

Python 0.11% CMake 2.61% C++ 83.91% C 1.90% Shell 0.15% Cuda 0.99% Fortran 10.16% JavaScript 0.06% CSS 0.04% Makefile 0.02% R 0.04%
slam robot

cpl-slam's Introduction

Note: It is important to use our provided Eigen library or CholmodSupport.h when compiling CPL-SLAM.

CPL-SLAM

CPL-SLAM is an efficient and certifiably correct algorithm that solves planar graph-based SLAM using the complex number representation.

This repository features 2 algorithms

  • SE-Sync: a certifiably correct algorithm for performing synchronization over the special Euclidean group.

  • CPL-SLAM: a certifiably correct algorithm for performing graph-based SLAM with and without landmarks using the complex number representation.

The performance comparison of SE-Sync and CPL-SLAM on planar graph-based SLAM is shown as follows:

Getting Started

Note: It is important to use our provided Eigen library or CholmodSupport.h when compiling CPL-SLAM.

The C++ implementation of CPL-SLAM can be built and exported as a CMake project. For a minimal working example, see examples/cpl_slam, which provides a simple command-line utility for processing .g2o files.

Acknowledgements

We use David M. Rosen's optimizaiton tools and Yixuan Qiu's Spectra in our CPL-SLAM.

Copyright and License

The C++ implementations of CPL-SLAM contained herein are copyright (C) 2018 - 2019 by Taosha Fan, and are distributed under the terms of the GNU Lesser General Public License (LGPL) version 3 (or later). Please see the LICENSE for more information.

Contact: [email protected]

cpl-slam's People

Contributors

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Stargazers

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cpl-slam's Issues

How to test CPL-SLAM in image sequence?

The .g2o file was provided to test in this project, and I am wondering how to test in the real image sequence like kitti?
Could you instruct me how to to configure it?

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