@inproceedings{800ce9fe1ddf4dbeb1d043cb2f7044cd,
title = "A case study on visual-inertial odometry using supervised, semi-supervised and unsupervised learning methods",
keywords = "CNN-LSTM, Semi supervised, Supervised, Unsupervised, Visual Inertial Odometry",
author = "Yuan Tian and Marc Compere",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019 ; Conference date: 09-12-2019 Through 11-12-2019",
year = "2019",
month = dec,
doi = "10.1109/AIVR46125.2019.00043",
language = "English",
series = "Proceedings - 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "203--207",
booktitle = "Proceedings - 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019",
}