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pro vyhledávání: '"Skoglund, Martin A."'
Autor:
Mohamad, Mazen, Avula, Ramana Reddy, Folkesson, Peter, Kleberger, Pierre, Mirzai, Aria, Skoglund, Martin, Damschen, Marvin
The increased importance of cybersecurity in autonomous machinery is becoming evident in the forestry domain. Forestry worksites are becoming more complex with the involvement of multiple systems and system of systems. Hence, there is a need to inves
Externí odkaz:
http://arxiv.org/abs/2404.19643
Typical iterated filters, such as the iterated extended Kalman filter (IEKF), iterated unscented Kalman filter (IUKF), and iterated posterior linearization filter (IPLF), have been developed to improve the linearization point (or density) of the like
Externí odkaz:
http://arxiv.org/abs/2404.15359
This letter investigates relationships between iterated filtering algorithms based on statistical linearization, such as the iterated unscented Kalman filter (IUKF), and filtering algorithms based on quasi-Newton (QN) methods, such as the QN iterated
Externí odkaz:
http://arxiv.org/abs/2309.07636
Autor:
Alickovic, Emina, Dorszewski, Tobias, Christiansen, Thomas U., Eskelund, Kasper, Gizzi, Leonardo, Skoglund, Martin A., Wendt, Dorothea
Attending to the speech stream of interest in multi-talker environments can be a challenging task, particularly for listeners with hearing impairment. Research suggests that neural responses assessed with electroencephalography (EEG) are modulated by
Externí odkaz:
http://arxiv.org/abs/2302.13553
Akademický článek
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Publikováno v:
In IFAC PapersOnLine 2023 56(2):6510-6517
Publikováno v:
In Transportation Research Procedia 2023 72:2165-2172
Akademický článek
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Autor:
Skoglund, Martin A.
Processing and interpretation of visual content is essential to many systems and applications. This requires knowledge of how the content is sensed and also what is sensed. Such knowledge is captured in models which, depending on the application, can
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-68858
Autor:
SJANIC, ZORAN, SKOGLUND, MARTIN A.
Publikováno v:
Journal of Advances in Information Fusion; Jun2024, Vol. 19 Issue 1, p34-44, 11p