MapClosures
• Install • ICRA24 Paper • Contact Us
Effectively Detecting Loop Closures using Point Cloud Density Maps.
Install the Python API and CLI
pip install map-closures
Usage
The following command will provide details about how to use our pipeline:
map_closure_pipeline --help
Providing the -v flag will initialize the visualizer:
map_closure_pipeline -v
Citation
If you use this library for any academic work, please cite our original paper.
@inproceedings{gupta2024icra,
author = {S. Gupta and T. Guadagnino and B. Mersch and I. Vizzo and C. Stachniss},
title = {{Effectively Detecting Loop Closures using Point Cloud Density Maps}},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2024},
codeurl = {https://github.com/PRBonn/MapClosures},
}
Acknowledgement
This repository is heavily inspired by, and also depends on KISS-ICP
Contributors
Metadata
Release files for perceptual-map-closures 2.0.3
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Built distributions (wheels)
Total release size: 795.1 MB
Release files / perceptual_map_closures-2.0.3.tar.gz
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