Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sebastian Sabogal"'
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 14:1-32
Deep learning (DL) presents new opportunities for enabling spacecraft autonomy, onboard analysis, and intelligent applications for space missions. However, DL applications are computationally intensive and often infeasible to deploy on radiation-hard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec208c3fc4874e673ffe1975267458b
https://doi.org/10.1145/3472770
https://doi.org/10.1145/3472770
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 13:1-32
Due to ongoing innovations in both sensor technology and spacecraft autonomy, onboard space processing continues to be outpaced by the escalating computational demands required for next-generation missions. Commercial-off-the-shelf, hybrid system-on-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38cc7899777e7da416fc3feadfa082c7
https://doi.org/10.1145/3398380
https://doi.org/10.1145/3398380
Autor:
Sebastian Sabogal, Alan D. George
Publikováno v:
2021 IEEE Space Computing Conference (SCC).
Due to continued innovations in onboard data analysis and spacecraft autonomy, enabled by deep learning (DL), modern spacecraft require dependable, high-performance computers to process onboard an immense volume of raw sensor data into actionable inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7886bdd748c2f6293e6f76eeef5129a0
https://doi.org/10.1109/scc49971.2021.00022
https://doi.org/10.1109/scc49971.2021.00022
Publikováno v:
2020 IEEE Aerospace Conference.
More efficient image-compression codecs are an emerging requirement for spacecraft because increasingly complex, onboard image sensors can rapidly saturate downlink bandwidth of communication transceivers. While these codecs reduce transmitted data v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ca079e56ce5158d3dd590b2ed7e40d7
https://doi.org/10.1109/aero47225.2020.9172536
https://doi.org/10.1109/aero47225.2020.9172536
Publikováno v:
2019 IEEE Space Computing Conference (SCC).
Recent advancements in deep learning present new opportunities for enhanced scientific methods, autonomous operations, and intelligent applications for space missions. Semantic segmentation is a powerful computer-vision process using convolutional ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4441c72b53463201f54799e4d0c5d603
https://doi.org/10.1109/spacecomp.2019.00010
https://doi.org/10.1109/spacecomp.2019.00010
Publikováno v:
IPAS
While the popularity of high-resolution, computer-vision applications (e.g. mixed reality, autonomous vehicles) is increasing, there have been complementary advances in time-of-flight depth sensor resolution and quality. These advances in time-of-fli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::831adf6e5d9523fbe5a6e2f4bb4e91f6
https://doi.org/10.1109/ipas.2018.8708867
https://doi.org/10.1109/ipas.2018.8708867
Publikováno v:
2017 IEEE Aerospace Conference.
The main design challenge in developing space computers featuring hybrid system-on-chip (SoC) devices is determining the optimal combination of size, weight, power, cost, performance, and reliability for the target mission, while addressing the compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dbd4046c5e716453cac172eb1c5dcef
https://doi.org/10.1109/aero.2017.7943867
https://doi.org/10.1109/aero.2017.7943867
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::25de5f2776d2d08f10d41c2e5dc622a4
http://www.scopus.com/inward/record.url?eid=2-s2.0-84942747045&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84942747045&partnerID=MN8TOARS
