Pytorch implementation of GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling (Accepted by WACV 2025)
Paper link: https://arxiv.org/abs/2409.02720
Models have been tested using Python 3.7/3.8, Pytorch 1.10.1+cu111
To set up the dataset, please refer to the CaFNet repo.
To train GET-UP on the nuScenes dataset, you may run:
python main.py arguments_train_nuscenes.txt
To evaluate GET-UP on the nuScenes dataset, you may run:
python main_test.py arguments_test_nuscenes.txt
You may replace the path dirs in the arguments files.
Our work builds on and uses code from radar-camera-fusion-depth, bts. We'd like to thank the authors for making these libraries and frameworks available.
If you use this work, please cite our paper:
@misc{getup,
title={GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling},
author={Huawei Sun and Zixu Wang and Hao Feng and Julius Ott and Lorenzo Servadei and Robert Wille},
year={2024},
eprint={2409.02720},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2409.02720},
}