Implementation of SeqLGPR in Python, including code for training the model on the GROUNDED dataset.
Running this code requires a copy of the GROUNDED dataset (Ort T, Gilitschenski I, Rus D. GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather[J]. The International Journal of Robotics Research, 2023, 42(10): 901-916.)
demo.py
contains the majority of the code and selectable parameters.
"Looking Beneath More: A Sequence-based Localizing Ground Penetrating Radar Framework"
If you use this code, please cite:
@INPROCEEDINGS{10610174,
author={Zhang, Pengyu and Zhi, Shuaifeng and Yuan, Yuelin and Bi, Beizhen and Xin, Qin and Huang, Xiaotao and Shen, Liang},
booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)},
title={Looking Beneath More: A Sequence-based Localizing Ground Penetrating Radar Framework},
year={2024},
volume={},
number={},
pages={8515-8521},
keywords={Location awareness;Visualization;Ground penetrating radar;Redundancy;Pipelines;Network architecture;Feature extraction},
doi={10.1109/ICRA57147.2024.10610174}}