Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Patrick Schlosser"'
Autor:
Jussi Holopainen, Jan Felix Rohe, Patrick Schlosser, Andrea Schankin, Matthias Budde, Lina Hirschoff, Michael Beigl
Publikováno v:
Behaviour & Information Technology. 40:1627-1642
Modern mobile phones are equipped with many sensors, which can increasingly be used to sense various environmental phenomena. In particular, mobile sensing has enabled crowdsourced data collection at an unprecedented scale. However, as laypersons are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c4db188e1f0bfbc13a016b3d00a8c6
https://doi.org/10.1080/0144929x.2020.1772878
https://doi.org/10.1080/0144929x.2020.1772878
Autor:
Daniel Hillen, Tom P. Huck, Nishanth Laxman, Christoph Ledermann, Jan Reich, Patrick Schlosser, Andreas Schmidt, Daniel Schneider, Denis Uecker
Publikováno v:
Model-Based Safety and Assessment ISBN: 9783031158414
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a78ff8d65bb39a68014717925f875970
https://doi.org/10.1007/978-3-031-15842-1_7
https://doi.org/10.1007/978-3-031-15842-1_7
Autor:
Patrick Schlosser, Christoph Ledermann
Publikováno v:
ICRA
In the industrial domain, the application of any system as a safety function has to follow strict rules and requirements, defined in safety standards such as ISO 13849 [1] and ISO 13855 [2]. Two core requirements are an extremely low rate of dangerou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca91fd7d1aed511803cb4bebeb373df4
https://doi.org/10.1109/icra48506.2021.9561390
https://doi.org/10.1109/icra48506.2021.9561390
Autor:
Patrick Schlosser, Christoph Ledermann
Publikováno v:
IROS
In recent years, human pose estimation has seen great improvements by the use of neural networks. However, these approaches are unsuitable for safety-critical applications such as human-robot interaction (HRI), as no guarantees are given whether a pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c02842ced52c953f4fb6cb5a23d03d2d
https://doi.org/10.1109/iros45743.2020.9341634
https://doi.org/10.1109/iros45743.2020.9341634
Publikováno v:
CVPR Workshops
In this paper, several variants of two-stream architectures for temporal action proposal generation in long, untrimmed videos are presented. Inspired by the recent advances in the field of human action recognition utilizing 3D convolutions in combina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ccce1d9f59d81f22f44d041e110e3a7