@article{yin2020caelo,
title={CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description},
author={Deyu Yin and Qian Zhang and Jingbin Liu and Xinlian Liang and Yunsheng Wang and Jyri Maanpää and Hao Ma and Juha Hyyppä and Ruizhi Chen},
journal={arXiv preprint arXiv:2001.01354},
year={2020}
}
The work based on this method is currently ranked 13th in KITTI named as "CAE-LO". And our paper is avialable on arXiv.
Now, only the evaluation data and some demos are published. The source code will be here until our paper is accepted.