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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: 05 May 2023 15:55
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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