Mobile-URSONet: an Embeddable Neural Network for Onboard Spacecraft Pose Estimation

Julien Posso, Guy Bois and Yvon Savaria

Paper (2022)

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Department:	Department of Computer Engineering and Software Engineering Department of Electrical Engineering
PolyPublie URL:	https://publications.polymtl.ca/51957/
Conference Title:	IEEE International Symposium on Circuits and Systems (ISCAS 2022)
Conference Location:	Austin, TX, USA
Conference Date(s):	2022-05-27 - 2022-06-01
Publisher:	IEEE
DOI:	10.1109/iscas48785.2022.9937721
Official URL:	https://doi.org/10.1109/iscas48785.2022.9937721
Date Deposited:	18 Apr 2023 14:59
Last Modified:	25 Sep 2024 16:42

Cite in APA 7:	Posso, J., Bois, G., & Savaria, Y. (2022, May). Mobile-URSONet: an Embeddable Neural Network for Onboard Spacecraft Pose Estimation [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2022), Austin, TX, USA. https://doi.org/10.1109/iscas48785.2022.9937721
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