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pro vyhledávání: '"Markus Gressmann"'
Autor:
Markus Gressmann, Alexander Bachmann, Lars Kahlke, Benoit Vanholme, Leo Neumann, Florian Schule
Publikováno v:
ITSC
Increasingly complex automated driving functions require ever more accurate environment models. If relevant information is missing, automated vehicle control may induce safety risks. In this paper, we describe a joint development of BMW and Continent
Publikováno v:
Intelligent Systems: Models and Applications ISBN: 9783642339585
The precise localization of pedestrians in images is a difficult problem with many practical applications in the fields of driver assistance, autonomous vehicles and visual surveillance. Localization can be treated as a subsequent step to pedestrian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2ba81db43bfafcaa9f391a33941d693
https://doi.org/10.1007/978-3-642-33959-2_17
https://doi.org/10.1007/978-3-642-33959-2_17
Autor:
Otto Lohlein, Roland Schweiger, Michael Gabb, Raimar Wagner, Markus Gressmann, Oliver Hartmann, Klaus Dietmayer
Publikováno v:
ICCE-Berlin
For object detection in monocular images, the Boosted Cascade [1] has become the standard approach for driver assistance systems. This paper studies the discriminative power of different features for common automotive object detection tasks: pedestri
Publikováno v:
ITSC
Pedestrian detection is of particular interest to the automotive domain, where an accurate estimation of a pedestrian's position is the first step towards reliable collision avoidance systems. Driven by rapid advances in technology, several systems t
Publikováno v:
2011 IEEE 9th International Symposium on Intelligent Systems and Informatics.
Autor:
Markus Gressmann
Publikováno v:
Versicherungsmagazin. 49:54-55
Autor:
Markus Gressmann
Publikováno v:
Sales Business. 11:58-59