Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Seyed Eghbal Ghobadi"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::467ff17bfe86a87c0a24b66748abbd20
https://doi.org/10.1007/978-3-031-25072-9_36
https://doi.org/10.1007/978-3-031-25072-9_36
Publikováno v:
Computer Science in Cars Symposium.
Autor:
Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi-Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
Publikováno v:
Deep Neural Networks and Data for Automated Driving ISBN: 9783031012327
Fingscheidt, Gottschalk et al. (Hg.): Deep Neural Networks and Data for Automated Driving. Robustness, Uncertainty Quantification, and Insights Towards Safety
Fingscheidt, Gottschalk et al. (Hg.): Deep Neural Networks and Data for Automated Driving. Robustness, Uncertainty Quantification, and Insights Towards Safety
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These shortcomings are diverse and range from a lack of generalization over i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a97320425a5b7fac20b0272cdc9fe19b
https://doi.org/10.1007/978-3-031-01233-4_1
https://doi.org/10.1007/978-3-031-01233-4_1
Publikováno v:
CSCS
Deep neural networks have been the prominent approach for many computer vision tasks, excelling in solving many critical tasks. However, estimating the uncertainty of the network’s predictions has still been an open research question with various a
Autor:
W. Weihs, Seyed Eghbal Ghobadi, Otmar Loffeld, Omar Edmond Loepprich, Oliver Lottner, Klaus Hartmann
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789048131761
Object tracking and classification is of utmost importance for different kinds of applications in computer vision. In this chapter, we analyze 2D/3D image data to address solutions to some aspects of object tracking and classification. We conclude ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d1e8647d04b0b154392a4c13f2dac78
https://doi.org/10.1007/978-90-481-3177-8_1
https://doi.org/10.1007/978-90-481-3177-8_1
Autor:
Otmar Loffeld, Klaus Hartmann, Seyed Eghbal Ghobadi, Jens Bernshausen, Omar Edmond Loepprich, Farid Ahmadov
Publikováno v:
Advances in Visual Computing ISBN: 9783540896456
ISVC (2)
ISVC (2)
In the interaction between man and machine, an efficient, natural and intuitive commanding system plays a key role. Vision based techniques are usually used to provide such a system. This paper presents a new solution using 2D/3D images for real time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::585a2111a3d25eb22673683037fe7a98
https://doi.org/10.1007/978-3-540-89646-3_30
https://doi.org/10.1007/978-3-540-89646-3_30
Publikováno v:
Computational Intelligence and Security ISBN: 9783540743767
CIS
CIS
This paper describes a classification system based on Support Vector Machines (SVM) and using 3D range images. Two kinds of camera systems are used to provide the classification system with 3D range images: Time-oF-Flight (TOF) camera and Stereo Visi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf7e16d56da490f851cf95683a52da2
https://doi.org/10.1007/978-3-540-74377-4_30
https://doi.org/10.1007/978-3-540-74377-4_30
Autor:
W. Weihs, Otmar Loffeld, Seyed Eghbal Ghobadi, Hubert Roth, Klaus Hartmann, Chayakorn Netramai
Publikováno v:
2006 International Conference on Computational Intelligence and Security.
This paper describes a system for detection and classification of moving objects based on support vector machines (SVM) and using 3D data. Two kinds of camera systems are used to provide the classification system with 3D range images: time-of-flight
Autor:
Oliver Lottner, Arnd Sluiter, T. D. Arun Prasad, Otmar Loffeld, Seyed Eghbal Ghobadi, Klaus Hartmann, Tobias Lerch, Valerij Peters, W. Weihs
Publikováno v:
Autonome Mobile Systeme 2005 ISBN: 3540302913
AMS
AMS
Die hier prasentierten Arbeiten stehen im Zusammenhang mit der Entwicklung einer neuen 2D/3D-Kameratechnologie. Unter Verwendung eines neuen phasenmessenden Bildsensors und verschiedener Bildsensoren zur Erzeugung von 2D-Bildern entstehen verschieden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74e8763011e11ae81cf70443da26d994
https://doi.org/10.1007/3-540-30292-1_10
https://doi.org/10.1007/3-540-30292-1_10