Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Timo Pech"'
Autor:
Stephan Enhuber, Angelika C. Bullinger, Josef F. Krems, André Dettmann, Klaus Mößner, Patrick Roßner, Dagmar Gesmann-Nuissl, Franziska Hartwich, Matthias Beggiato, Timo Pech
Publikováno v:
Human–Computer Interaction Series ISBN: 9783030451301
Automated driving is expected to bring several benefits such as improved traffic safety, reduced congestions and emissions, social inclusion, enhanced accessibility and higher driving comfort. A central human–machine interaction issue addresses the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d34878cddbb11208af575e82726bd37d
https://doi.org/10.1007/978-3-030-45131-8_2
https://doi.org/10.1007/978-3-030-45131-8_2
Publikováno v:
Advanced Microsystems for Automotive Applications 2018 ISBN: 9783319997612
With the continuous development and improvement of advanced driver assistance systems up to highly automated driving functions, the driving task is changing. There is no need for the driver to permanently supervise automatic driving functions of SAE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::385351a3defd47c9052f8ca07a70e91e
https://doi.org/10.1007/978-3-319-99762-9_4
https://doi.org/10.1007/978-3-319-99762-9_4
Autor:
Senthil Yogamani, Timo Pech, Christian Witt, Varun Ravi Kumar, Johannes Petzold, Stefan Milz, Karl Amende, Martin Simon
Publikováno v:
ITSC
Near-field depth estimation around a self-driving car is an important function that can be achieved by four wide-angle fisheye cameras having a field of view of over 180°. Depth estimation based on convolutional neural networks (CNNs) produce state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fbf1a1017d952520ecd4d7238c8ef8e
Publikováno v:
UR:BAN Human Factors in Traffic ISBN: 9783658154172
The task of driving is very complex and highly demanding for the individual. The optimal driver assistance strongly depends on the situation and the driver’s needs. In particular, this applies to driving manoeuvres as lane changes. Consequently, fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9dabf636e57c2945776645935033f9
https://doi.org/10.1007/978-3-658-15418-9_12
https://doi.org/10.1007/978-3-658-15418-9_12
Autor:
Angelika C. Bullinger-Hoffmann, Matthias Beggiato, Philipp Lindner, Veit Leonhardt, Josef F. Krems, Gerd Wanielik, Timo Pech
Publikováno v:
UR:BAN Human Factors in Traffic ISBN: 9783658154172
Lane change manoeuvres pose high demands on the driver. Driver intent information is supposed to provide lane change assistance specifically when required, thus increasing acceptance and traffic safety. Based on an on-road study including 60 particip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b594090cc22feb362ad9a7cae51be228
https://doi.org/10.1007/978-3-658-15418-9_11
https://doi.org/10.1007/978-3-658-15418-9_11
Publikováno v:
Advanced Microsystems for Automotive Applications 2016 ISBN: 9783319447650
The continuous development and implementation of highly automated driving functions for vehicles raise new issues in traffic research, as e.g. the effect of automated vehicles on the driver and the surrounding traffic participants. For the efficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f114844b58e59735235409842876870
https://doi.org/10.1007/978-3-319-44766-7_4
https://doi.org/10.1007/978-3-319-44766-7_4
Publikováno v:
ITSC
This paper describes a method to analyse driver behaviour before lane change manoeuvres to detect the lane change intent before the actual manoeuvre itself is initiated. Recent research shows that driver's visual behaviour is an essential indicator t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb86668cd9374ca965d8023452d4f137
https://doi.org/10.1109/itsc.2014.6957764
https://doi.org/10.1109/itsc.2014.6957764
Autor:
Christian Adam, Sven Bauer, Jan Thomanek, André Welzel, Pierre Reisdorf, Timo Pech, Robin Streiter, Robin Schubert, Gerd Wanielik, Marcus Obst
Publikováno v:
Advanced Microsystems for Automotive Applications 2013 ISBN: 9783319004754
The steadily increasing complexity of cooperative Advanced Driver Assistance Systems (ADASs) requires efficient development and prototyping strategies for new ADAS applications. In this paper the prototyping road side unit (RSU) PROTECT1 from Chemnit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b75b26604f46c3cce00586f20661e90
https://doi.org/10.1007/978-3-319-00476-1_9
https://doi.org/10.1007/978-3-319-00476-1_9