This is the official repo of "Uncertainty-aware Self-supervised 3D Data Association", IROS 2020
Project page: https://jianrenw.github.io/Self-Supervised-3D-Data-Association/
Paper: https://arxiv.org/pdf/2008.08173.pdf
First generate sudo label for self-supervised embedding training:
bash ./tracking/main.sh python ./embedding/dataset/nuscenes_preprocessing.py
bash ./embedding/main.sh
python ./combination/generate_data.py python ./combination/logistic_regression.py bash ./tracking/main.sh
This project is not possible without multiple great opensourced codebases. We list some notable examples below.
SS3DA is deeply influenced by the following projects. Please consider citing the relevant papers.
@article{Weng2020_AB3DMOT,
author = {Weng, Xinshuo and Wang, Jianren and Held, David and Kitani, Kris},
journal = {IROS},
title = {{3D Multi-Object Tracking: A Baseline and New Evaluation Metrics}},
year = {2020}
}
@inproceedings{jianren20s3da,
Author = {Wang, Jianren and Ancha, Siddharth and Chen, Yi-Ting and Held, David},
Title = {Self-supervised 3D Data Association},
Booktitle = {IROS},
Year = {2020}
}