Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mathias Haberjahn"'
Autor:
Sven Lorenz, Rico Auerswald, Richard Fritzsche, Mathias Haberjahn, Isabel Kreißig, Michael Klöppel-Gersdorf, Josef F. Krems, Markus Dod, Lars Franke, Sabine Springer, Alexander Jungmann, Franziska Schmalfuß
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030680275
SMARTGREENS/VEHITS (Selected Papers)
SMARTGREENS/VEHITS (Selected Papers)
Automated driving is an active topic of research, while first results have already found their way into productive use. Nonetheless, nearly all of today’s vehicles are still non-automated. Most modern vehicles, however, are equipped with communicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3c4455b8260404a8b22a1d165d4c86
https://doi.org/10.1007/978-3-030-68028-2_13
https://doi.org/10.1007/978-3-030-68028-2_13
Autor:
Richard Jacob, Matthias Gay, Markus Dod, Sven Lorenz, Alexander Jungmann, Lars Franke, Michael Philipp, Michael Kloeppel-Gersdorf, Mathias Haberjahn, Erik Gruschka, Gerhard Fettweis
Publikováno v:
VTC-Fall
Various radio technologies address the diverse performance requirements of today’s ITS applications and compete for deployment. Instead of choosing a specific technology, a heterogeneous mix of currently available as well as emerging V2X technologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::534ff8dbc2c7a43d9403c2774ed0d26e
https://doi.org/10.1109/vtc2020-fall49728.2020.9348580
https://doi.org/10.1109/vtc2020-fall49728.2020.9348580
Publikováno v:
Procedia - Social and Behavioral Sciences. 48:1525-1534
An established approach for the mobile determination of traffic parameters is Floating Car Data (FCD) also known as Probe Vehicle Data. Floating cars are equipped with modules for positioning and transmitting the data to a processing unit. There, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37fbaa9f699d108995fc2961296e8e35
https://doi.org/10.1016/j.sbspro.2012.06.1128
https://doi.org/10.1016/j.sbspro.2012.06.1128
Publikováno v:
WIT Transactions on The Built Environment.
Vehicle trajectories from recorded video sequences—acquired by several contemporary methods of digital image processing—are compared with high-precision GPS data serving as a reference. The raw data has been created by driving some scenarios with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2849fdf9ba9655ac6b0c8a83f5237d2
https://doi.org/10.2495/ut140321
https://doi.org/10.2495/ut140321
The detection of atypical trajectories and events in road traffic is a challenging task for the implementation of an intelligent transportation system. It also provides information for optimizing the traffic flow and mitigating risks of accidents wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a6ed7bc5979f5a10ec8fcc4cdd1b854
https://elib.dlr.de/89352/
https://elib.dlr.de/89352/
Autor:
Marek Junghans, Mathias Haberjahn
Publikováno v:
ITSC
A sensor system consisting of a multi layer laser scanner and a stereo camera is used to observe the surrounding environment of a vehicle. By a novel multi level fusion framework the heterogeneous sensor data can be merged on different processing lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57fc6413b5016172cb7210a7b97b87fd
https://elib.dlr.de/71154/
https://elib.dlr.de/71154/
Autor:
Mathias Haberjahn, Ralf Reulke
Publikováno v:
Computer Vision – ACCV 2010 Workshops ISBN: 9783642228186
ACCV Workshops (2)
ACCV Workshops (2)
The use of sensor data for observing the surrounding environment of a vehicle is becoming increasingly popular. Especially for detecting dangerous situations, which occur too fast for the human senses, sensor systems are needed. In the following pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::862da8704b39cb41381e63319fb9dc24
https://doi.org/10.1007/978-3-642-22819-3_23
https://doi.org/10.1007/978-3-642-22819-3_23