Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Samy Labsir"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-19 (2024)
Abstract State estimation techniques appear in a plethora of engineering fields, in particular for the attitude estimation application of interest in this contribution. A number of filters have been devised for this problem, in particular Kalman-type
Externí odkaz:
https://doaj.org/article/fb10146cd21b4420b12e055c9b208b4c
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 571 (2022)
This paper addresses the problem of monocular Simultaneous Localization And Mapping on Lie groups using fiducial patterns. For that purpose, we propose a reformulation of the classical camera model as a model on matrix Lie groups. Thus, we define an
Externí odkaz:
https://doaj.org/article/a7c138cd9e904327bd036db355d6ae79
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff94f6ceb05a2b50436dd5c26c18ad4
https://doi.org/10.1109/icassp49357.2023.10096257
https://doi.org/10.1109/icassp49357.2023.10096257
Publikováno v:
EUSIPCO
In the context of spatial surveillance, we are interested in estimating the outline and centroid position of a cluster of debris from a set of noisy sensor observations. The motion of the pieces of debris is completely driven by Kepler’s law, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0cbf8f43a25bc898bc82cb76f2a3f7d
https://doi.org/10.23919/eusipco47968.2020.9287641
https://doi.org/10.23919/eusipco47968.2020.9287641
Publikováno v:
ICASSP
This paper addresses the problem of tracking a cluster of space debris sufficiently close to each other to be considered as a single ex-tended object. State-of-the-art random-matrix methods estimate the kinematics of the object centroid by assuming t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42536b8dc113c703e9015c0ba9024f94
https://doi.org/10.1109/icassp.2019.8682409
https://doi.org/10.1109/icassp.2019.8682409