Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment

Related Publications:

Xiyue Guo, Junjie Hu, Junfeng Chen, Fuqin Deng, Tin Lun Lam, Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment, IEEE Robotics and Automation Letters, 2021. PDF.

Results

1. Prerequisites

Ubuntu
CMake
Eigen
Pangolin
OpenCV
PCL (version below 1.10)

2. Running

Clone the repository and catkin_make:

    git clone https://https://github.com/gxytcrc/Semantic-Graph-based--global-Localization.git
    mkdir build
    cd build
    cmake ..
    make -j8

Download the dataset that is created from Airsim, and save them into the Datset . Download link: https://drive.google.com/file/d/106sPA48vFThLK0RB4WBcj-i8FZPQPmcV/view?usp=sharing.

Launch it as follows:

./mapAlignment robot1-foldername startFrameNumber endFrameNumber robot2-foldername startFrameNumber endFrameNumber

Citation

@inproceedings{XiyueGuo2021,
title={Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment},
author={Xiyue Guo, Junjie Hu, Junfeng Chen, Fuqin Deng, Tin Lun Lam},
booktitle=IEEE Robotics and Automation Letters (RA-L)},
year={2021}
}