Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Robert Kastner"'
Autor:
Frank Zantner, Martin Heiderich, Andreas Wagner, Hideaki Shibue, Jens Neubeck, Robert Kastner, Jochen Wiedemann
Publikováno v:
Proceedings ISBN: 9783658299422
In the age of autonomous driving, car manufacturers have to consider completely new aspects in their vehicle development processes. An important aspect is the understanding of the sensation and perception of vehicle motions by the passengers. Here th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd48220fa293c9f61c492c2f41aaba21
https://doi.org/10.1007/978-3-658-29943-9_21
https://doi.org/10.1007/978-3-658-29943-9_21
Publikováno v:
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, Vol 12, Iss 3, Pp 95-100 (2012)
The paper is aimed at presenting the concept and development of the rural development initiative “Genuss Region Österreich” in Austria from 2008 until the year 2010. It is based on statistical data provided by the Austrian Ministry of Agricultur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::8c018242c2480e018ad20e89aa6fbcfa
Autor:
Thomas Michalke, Robert Kastner
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 3:6-23
Driver assistance functionalities on the market are getting more and more sophisticated, which will lead to integrated systems that fuse the data of multiple sensors (e.g., camera, Photonic Mixer Device, Radar) and internal system percepts (e.g., det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94b7c4249b8fd46eeffcf47f686d9f48
https://doi.org/10.1109/mits.2011.941911
https://doi.org/10.1109/mits.2011.941911
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 3:20-33
State-of-the-art advanced driver assistance systems (ADAS) typically focus on single tasks and therefore, have clearly defined functionalities. Although said ADAS functions (e.g. lane departure warning) show good performance, they lack the general ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf9124cb2c33a8ea173c13380d75768
https://doi.org/10.1109/mits.2011.942201
https://doi.org/10.1109/mits.2011.942201
Autor:
Jannik Fritsch, Alexander Gepperth, Jens Gayko, Jürgen Adamy, Christian Goerick, Sven Bone, Falko Waibel, Thomas Michalke, Robert Kastner, Marcus Kleinehagenbrock
Publikováno v:
at - Automatisierungstechnik. 56:575-584
Research on computer vision systems for driver assistance resulted in a variety of isolated approaches mainly performing very specialized tasks like, e. g., lane keeping or traffic sign detection. However, for a full understanding of generic traffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e618450ff0ff369e88c6eb9b60abcfa
https://doi.org/10.1524/auto.2008.0737
https://doi.org/10.1524/auto.2008.0737
Publikováno v:
Intelligent Vehicles Symposium
The detection of objects in the surrounding environment is a key functionality for every Advanced Driver Assistance System (ADAS). Otherwise, it is impossible to realize any kind of advanced assistance functionality as e.g. a Forward Collision Warnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b6276c6ef7311121130a0065d73513
https://doi.org/10.1109/ivs.2011.5940401
https://doi.org/10.1109/ivs.2011.5940401
Autor:
Bram Bolder, Nils Einecke, Jannik Fritsch, Stephan Hasler, Sven Rebhan, Heiko Wersing, Robert Kastner, Julian Eggert, Benjamin Dittes, Christian Goerick, Alexander Gepperth, Jens Schmuedderich, Mathias Franzius
Publikováno v:
ITSC
A major step towards intelligent vehicles lies in the acquisition of an environmental representation of sufficient generality to serve as the basis for a multitude of different assistance-relevant tasks. This acquisition process must reliably cope wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d7fe1fe132cecf8637a2209aebe3f3d
https://doi.org/10.1109/itsc.2010.5625234
https://doi.org/10.1109/itsc.2010.5625234
Publikováno v:
Intelligent Vehicles Symposium
Currently available traffic sign recognition systems typically focus on a single class of traffic sign and therefore, the algorithms are optimized to find only this specific class. To this end, a number of approaches for real time capable classificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd89ce5d5782389e4b4413997e4f1a9e
https://doi.org/10.1109/ivs.2010.5548143
https://doi.org/10.1109/ivs.2010.5548143
Publikováno v:
Intelligent Vehicles Symposium
Newly emerging, highly complex Advanced Driver Assistance Systems (ADAS) fuse the output of various system modules (e.g., lane detection, object classification). Such knowledge fusion is realized in order to gain additional information of the environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be280d06940d952a8ed5c122dcd28039
https://doi.org/10.1109/ivs.2010.5548055
https://doi.org/10.1109/ivs.2010.5548055
Publikováno v:
Intelligent Vehicles Symposium
State-of-the-art advanced driver assistance systems (ADAS) typically focus on single tasks and therefore, have clearly defined functionalities. Although said ADAS functions (e.g. lane departure warning) show good performance, they lack the general ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c7ddbbd61bfb3e183c518eefc724d18
https://doi.org/10.1109/ivs.2010.5548119
https://doi.org/10.1109/ivs.2010.5548119