Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Daniela Horn"'
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
The utilization of automatically generated image training data is a feasible way to enhance existing datasets, e.g., by strengthening underrepresented classes or by adding new lighting or weather conditions for more variety. Synthetic images can also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ad46c8bc792ef773282514bb04f219
https://doi.org/10.1109/iv48863.2021.9575337
https://doi.org/10.1109/iv48863.2021.9575337
Autor:
Sebastian Houben, Daniela Horn
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Video-based traffic sign recognition is a key ability of autonomous vehicles but a demanding challenge due to the enormous number of classes and natural conditions in the wild. We address this problem with a fully automatic close-to-life image-to-ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b4c98bab8fbf74b5c65fd4b1546908
https://doi.org/10.1109/iv47402.2020.9304547
https://doi.org/10.1109/iv47402.2020.9304547
Publikováno v:
Zeitschrift für Arbeitswissenschaft. 73:203-213
In der Diskussion um beeintrachtigungsminimierende Schichtsysteme werden in der Forschung wie in der betrieblichen Praxis haufig langrotierte Systeme favorisiert, obwohl die vorliegenden Befunde eher fur kurzrotierte Systeme sprechen. Aus diesem Grun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::394b176f86c8908df1ff4798c2f962c0
https://doi.org/10.1007/s41449-018-00139-6
https://doi.org/10.1007/s41449-018-00139-6
Publikováno v:
ITSC
Position estimation of multiple objects in a 3D environment poses a challenging task, even more so in the presence of occlusions due to infrastructure. In this paper we present a method to accurately localize up to 10 moving pedestrians by fusing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d7b7ee5b94532d345784cc744b49f10
https://doi.org/10.1109/itsc.2019.8917424
https://doi.org/10.1109/itsc.2019.8917424
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
Video-based traffic sign recognition poses a highly challenging problem due to the significant number of possible classes and large variances of recording conditions in natural environments. Gathering an appropriate amount of data to solve this task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::920958acf414b43ec563c52b53e7af1c
https://doi.org/10.1109/ivs.2019.8814090
https://doi.org/10.1109/ivs.2019.8814090
Autor:
Aneta Marvanova, Petr Kasik, Barbara Elsnicova, Veronika Tibenska, František Galatik, Daniela Hornikova, Veronika Zvolska, Pavel Vebr, Petr Vodicka, Lucie Hejnova, Petr Matous, Barbara Szeiff Bacova, Matus Sykora, Jiri Novotny, Jiri Neuzil, Frantisek Kolar, Olga Novakova, Jitka M. Zurmanova
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Moderate cold acclimation (MCA) is a non-invasive intervention mitigating effects of various pathological conditions including myocardial infarction. We aim to determine the shortest cardioprotective regimen of MCA and the response of β1/2/
Externí odkaz:
https://doaj.org/article/d34e3872bd694fb2a062b611ded5301a
Autor:
Daniela Horn, Sebastian Houben
Publikováno v:
Intelligent Vehicles Symposium
Most modern computer vision techniques rely on large amounts of meticulously annotated data for training and evaluation. In close-to-market development, this demand is even higher since numerous common and—more important—less common situations ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2718cac3991f54444146cc4a4dcd9be5
https://doi.org/10.1109/ivs.2018.8500453
https://doi.org/10.1109/ivs.2018.8500453
Publikováno v:
Handbuch Qualitative Videoanalyse ISBN: 9783658158934
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a82e9deba6c04c049ae95e059faa5c97
https://doi.org/10.1007/978-3-658-15894-1_23
https://doi.org/10.1007/978-3-658-15894-1_23
Publikováno v:
Intelligent Vehicles Symposium
Developing image-processing algorithms based on machine learning is a challenging problem concerning the huge amount of thoroughly annotated data needed. The internet provides many already tagged images for basic classification problems like vegetabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b7d3e2f79043b016db0d65560245d9b
https://doi.org/10.1109/ivs.2017.7995933
https://doi.org/10.1109/ivs.2017.7995933
Autor:
Daniela Horn
Publikováno v:
ZESAR.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67f4c7707e3479a9ec2e28322bed9425
https://doi.org/10.37307/j.1868-7938.2009.07.08
https://doi.org/10.37307/j.1868-7938.2009.07.08