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With increased autonomy in marine vessels, autonomous surface vessels (ASVs) and conventionally manned vessels need to coexist at sea. Any relocation needs to include collision avoidance according to the traffic rules at sea, COLREGs. Here, a local collision-avoidance planner for an archipelago environment is presented. The optimization-based local planner presented considers a predefined nominal
Interpretability has become a crucial component in the Machine Learning (ML) domain. This is particularly important in the context of medical and health applications, where the underlying reasons behind how an ML model makes a certain decision are as important as the decision itself for the experts. However, interpreting an ML model based on limited local data may potentially lead to inaccurate co
This paper reports and demonstrates a packetponder for access/metro node consolidation and aggregation using common-form-factor pluggables (CFFP), which can simplify edge network architectures.
We address the challenges in estimating 3D human poses from multiple views under occlusion and with limited overlapping views. We approach multi-view, single-person 3D human pose reconstruction as a regression problem and propose a novel encoder-decoder Transformer architecture to estimate 3D poses from multi-view 2D pose sequences. The encoder refines 2D skeleton joints detected across different
Lägg till titel Fakultetsstyrelsen Ledamöter Närvarande Santino Resić, dekan, ordförande Fredrik Værslev, professor Konsthögskolan Mats Edén, universitetslektor Musikhögskolan Håkan Andersson, universitetslektor Musikhögskolan. Justerare Sven Bjerstedt, professor Teaterhögskolan Elisabeth Melander, universitetslektor Musikhögskolan Maria Hedlund, universitetslektor Konsthögskolan Åse Lugnér, bibli
https://www.konstnarliga.lu.se/sites/konstnarliga.lu.se/files/2024-12/protokoll%20kfs%20241211-signed.pdf - 2026-06-27
Instruction and Exemple Instruction and example Enter data in cell on sheet Summary annual time. On the sheet for single months, enter number of hours and activity in areas marked with an ellipse in example: Table Optional is not mandatory but can serve as support for the memory Timesheet, Lund University - H2020 framework Employee: Anders Andersson Typ of personnel: Senior Staff Beneficiary: Lund
Doktorand Kontaktinformation E-post: francesco [dot] palmieri [at] mhm [dot] lu [dot] seOrganisation Musiker- och kyrkomusikerutbildningarnas kansli (Musikhögskolan) WebbplatsFrancesco Palmieris profil i Lunds universitets forskningsportalFrancesco Palmieri (född 1996, Italien) är en Baselbaserad klassisk och elektrisk gitarrist, vars arbete sammanflätar instrumental praktik med konstnärlig forskn
https://www.mhm.lu.se/francesco-palmieri - 2026-06-26
Sida 1 av 8 Fakultetsstyrelsen Ledamöter Närvarande Staffan Storm, prodekan. Ordförande Håkan Andersson, universitetslektor Musikhögskolan Sven Bjerstedt, docent Teaterhögskolan. Jäv §17. Mats Edén, universitetslektor Musikhögskolan Maria Hedlund, universitetslektor Konsthögskolan Elisabeth Melander, universitetslektor Musikhögskolan. Justerare Åse Lugnér, bibliotekschef Musikhögskolan Charlotta Ö
https://www.konstnarliga.lu.se/sites/konstnarliga.lu.se/files/2024-04/protokoll_kfs_240417-signed.pdf - 2026-06-27
Instruction and Exemple Instruction and example Enter data in cell on sheet Summary annual time. On the sheet for single months, enter acronym, work package and number of hours in areas marked with an ellipse in example, Other activities and absence is optional: Timesheet, Lund University - H2020 and Horizon Europe Employee: Researcher Typ of personnel: Senior Staff Beneficiary: Lund University Ac
https://www.iac.lu.se/previous-projects/2024 - 2026-06-25
