Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Clemens Kaufmann"'
Autor:
Clemens Kaufmann, Matthias Frühwirth, Dietmar Messerschmidt, Maximilian Moser, Arno Eichberger, Sadegh Arefnezhad
Publikováno v:
Transactions on Transport Sciences, Vol 11, Iss 2, Pp 51-63 (2020)
The development of automated driving is an ongoing process; nonetheless, certain problems remain unresolved. One of them is the question when the automated vehicle control system should hand over the control to a human driver and whether this can be
Externí odkaz:
https://doaj.org/article/e940ea171ce54d7db45acf009eb3b5d8
Autor:
Lukas Hartwig, Clemens Kaufmann, Ralf Risser, Christian Erbsmehl, Tom Landgraf, Martin Urban, Dominik Schreiber
Publikováno v:
Transactions on Transport Sciences, Vol 11, Iss 1, Pp 41-54 (2020)
The article gives an overview about the results of the use of a newly developed measurement technique in order to analyse the behaviour of road users at level crossings. For the test of the measurement technique a before/after design was chosen in or
Externí odkaz:
https://doaj.org/article/ac4905faef7440d78692cd7830741e89
Publikováno v:
International Journal of Urban Sustainable Development, Vol 11, Iss 3, Pp 332-345 (2019)
In this paper, we focus on the rationale for implementing the fare-free public transportation system (FFPTS) in Tallinn, Estonia, that took place on 1 January 2013. Through a series of interviews with relevant informants, we identify the main enabler
Externí odkaz:
https://doaj.org/article/b971a3efcfde4b4bb6ecae1fe2158d37
Autor:
Sadegh Arefnezhad, Arno Eichberger, Matthias Frühwirth, Clemens Kaufmann, Maximilian Moser, Ioana Victoria Koglbauer
Publikováno v:
Energies, Vol 15, Iss 2, p 480 (2022)
Driver drowsiness is one of the leading causes of traffic accidents. This paper proposes a new method for classifying driver drowsiness using deep convolution neural networks trained by wavelet scalogram images of electrocardiogram (ECG) signals. Thr
Externí odkaz:
https://doaj.org/article/31a043d42f5a41e184d17474a97bf58e
Autor:
Daniel Vankov, Clemens Kaufmann
Publikováno v:
Transactions on Transport Sciences, Vol 8, Iss 1, Pp 11-23 (2017)
IMPACT is a European project that aims to promote road safety and explore synergies between all stakeholders in the participating countries (Bulgaria, Romania, Hungary, Belgium, Argentina and China). This will be achieved by project activities focuse
Externí odkaz:
https://doaj.org/article/8ad168085ef5480f8f7deecd4d593848
Autor:
Achim Leo Burger, Edita Pogran, Marie Muthspiel, Christoph Clemens Kaufmann, Bernhard Jäger, Kurt Huber
Publikováno v:
Biomedicines. 10(5)
The effective and fast reduction of circulating low-density lipoprotein cholesterol (LDL-C) is a cornerstone for secondary prevention of atherosclerotic disease progression. Despite the substantial lipid-lowering effects of the established treatment
Autor:
Sadegh Arefnezhad, Dietmar Messerschmidt, Matthias Frühwirth, Arno Eichberger, Maximilian Moser, Clemens Kaufmann
Publikováno v:
Transactions on Transport Sciences. 11:51-63
The development of automated driving is an ongoing process; nonetheless, certain problems remain unresolved. One of them is the question when the automated vehicle control system should hand over the control to a human driver and whether this can be
Autor:
Ralf Risser, Clemens Kaufmann, Tom Landgraf, Dominik Schreiber, Christian Erbsmehl, Martin Urban, Lukas Hartwig
Publikováno v:
Transactions on Transport Sciences. 11:41-54
The article gives an overview about the results of the use of a newly developed measurement technique in order to analyse the behaviour of road users at level crossings. For the test of the measurement technique a before/after design was chosen in or
Publikováno v:
Journal of Intelligent Transportation Systems. 25:587-608
User-related assessment of a level 3 automated driving system, providing functions such as lane- and distance-keeping, stop & go driving, lane change and overtaking, was carried out on a motorway i...
Autor:
Ioana Victoria Koglbauer, Maximilian Moser, Clemens Kaufmann, Sadegh Arefnezhad, Matthias Frühwirth, Arno Eichberger
Publikováno v:
Energies, Vol 15, Iss 480, p 480 (2022)
Energies; Volume 15; Issue 2; Pages: 480
Energies; Volume 15; Issue 2; Pages: 480
Driver drowsiness is one of the leading causes of traffic accidents. This paper proposes a new method for classifying driver drowsiness using deep convolution neural networks trained by wavelet scalogram images of electrocardiogram (ECG) signals. Thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d964d5a7bc777731d2b5e7dc078ded74