Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Braun, Sascha"'
Autor:
Armanious, Karim, Quach, Maurice, Ulrich, Michael, Winterling, Timo, Friesen, Johannes, Braun, Sascha, Jenet, Daniel, Feldman, Yuri, Kosman, Eitan, Rapp, Philipp, Fischer, Volker, Sons, Marc, Kohns, Lukas, Eckstein, Daniel, Egbert, Daniela, Letsch, Simone, Voege, Corinna, Huttner, Felix, Bartler, Alexander, Maiwald, Robert, Lin, Yancong, Rüegg, Ulf, Gläser, Claudius, Bischoff, Bastian, Freess, Jascha, Haug, Karsten, Klee, Kathrin, Caesar, Holger
This paper introduces the Bosch street dataset (BSD), a novel multi-modal large-scale dataset aimed at promoting highly automated driving (HAD) and advanced driver-assistance systems (ADAS) research. Unlike existing datasets, BSD offers a unique inte
Externí odkaz:
http://arxiv.org/abs/2407.12803
Autor:
Lippke, Marius, Quach, Maurice, Braun, Sascha, Köhler, Daniel, Ulrich, Michael, Bischoff, Bastian, Tan, Wei Yap
Having precise perception of the environment is crucial for ensuring the secure and reliable functioning of autonomous driving systems. Radar object detection networks are one fundamental part of such systems. CNN-based object detectors showed good p
Externí odkaz:
http://arxiv.org/abs/2308.07748
Autor:
Niederlöhner, Daniel, Ulrich, Michael, Braun, Sascha, Köhler, Daniel, Faion, Florian, Gläser, Claudius, Treptow, André, Blume, Holger
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV), 04-09 June 2022, Aachen Germany, pp. 352-359
This paper presents a method to learn the Cartesian velocity of objects using an object detection network on automotive radar data. The proposed method is self-supervised in terms of generating its own training signal for the velocities. Labels are o
Externí odkaz:
http://arxiv.org/abs/2207.03146
Autor:
Ulrich, Michael, Braun, Sascha, Köhler, Daniel, Niederlöhner, Daniel, Faion, Florian, Gläser, Claudius, Blume, Holger
This paper presents novel hybrid architectures that combine grid- and point-based processing to improve the detection performance and orientation estimation of radar-based object detection networks. Purely grid-based detection models operate on a bir
Externí odkaz:
http://arxiv.org/abs/2205.02111
Autor:
Keinprecht, Helga, Irimaso, Emmanuel, Rosel, Adriana Cabal, Stessl, Beatrix, Ntakirutimana, Christophe, Marek, Lydia, Fischer, Otto W., Szostak, Michael P., Zöchbauer, Jennifer, Wittek, Thomas, Müller, Elke, Desvars-Larrive, Amelie, Feßler, Andrea T., Braun, Sascha D., Schwarz, Stefan, Spergser, Joachim, Ehling-Schulz, Monika, Monecke, Stefan, Ehricht, Ralf, Ruppitsch, Werner, Grunert, Tom, Loncaric, Igor
Publikováno v:
In Journal of Global Antimicrobial Resistance March 2024 36:326-335
Akademický článek
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Autor:
Osadare, Ibukun Elizabeth, Monecke, Stefan, Abdilahi, Abdinasir, Müller, Elke, Collatz, Maximilian, Braun, Sascha, Reissig, Annett, Schneider-Brachert, Wulf, Kieninger, Bärbel, Eichner, Anja, Rath, Anca, Fritsch, Jürgen, Gary, Dominik, Frankenfeld, Katrin, Wellhöfer, Thomas, Ehricht, Ralf
Publikováno v:
Sensors (14248220); Oct2024, Vol. 24 Issue 19, p6476, 17p
Autor:
Loncaric, Igor, Szostak, Michael P., Cabal-Rosel, Adriana, Grünzweil, Olivia M., Riegelnegg, Alina, Misic, Dusan, Müller, Elke, Feßler, Andrea T., Braun, Sascha D., Schwarz, Stefan, Monecke, Stefan, Ehricht, Ralf, Ruppitsch, Werner, Spergser, Joachim, Lewis, Ashli, Bloom, Peter H., Saggese, Miguel D.
Publikováno v:
PLoS ONE; 9/27/2024, Vol. 19 Issue 9, p1-21, 21p
Autor:
Monecke, Stefan, Boswihi, Samar, Braun, Sascha D., Diezel, Celia, Müller, Elke, Reinicke, Martin, Udo, Edet, Ehricht, Ralf
Publikováno v:
European Journal of Clinical Microbiology & Infectious Diseases; Sep2024, Vol. 43 Issue 9, p1761-1775, 15p