Improving vision based pose estimation using LSTM neural networks

Bilal, Diyar Khalis and Ünel, Mustafa and Tunç, Lütfi Taner (2020) Improving vision based pose estimation using LSTM neural networks. In: The 46th Annual Conference of the IEEE Industrial Electronics Society (IES), IECON 2020, Singapore (Accepted/In Press)

There is a more recent version of this item available.

PDF
IECON2020_DKB_MU_LTT.pdf
Download (3MB)

Item Type:	Papers in Conference Proceedings
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics
Divisions:	Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics Sabancı University Nanotechnology Research and Application Center Faculty of Engineering and Natural Sciences
Depositing User:	Mustafa Ünel
Date Deposited:	13 Sep 2020 10:19
Last Modified:	26 Apr 2022 09:36
URI:	https://research.sabanciuniv.edu/id/eprint/40605

Available Versions of this Item

Improving vision based pose estimation using LSTM neural networks. (deposited 13 Sep 2020 10:19) [Currently Displayed]
- Improving vision based pose estimation using LSTM neural networks. (deposited 26 Sep 2020 18:39)

Actions (login required)

: View Item