Zobrazeno 1 - 10
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pro vyhledávání: '"Steinbrener, Jan"'
Autor:
Jantos, Thomas, Scheiber, Martin, Brommer, Christian, Allak, Eren, Weiss, Stephan, Steinbrener, Jan
Object-relative mobile robot navigation is essential for a variety of tasks, e.g. autonomous critical infrastructure inspection, but requires the capability to extract semantic information about the objects of interest from raw sensory data. While de
Externí odkaz:
http://arxiv.org/abs/2410.05996
The capability to extract task specific, semantic information from raw sensory data is a crucial requirement for many applications of mobile robotics. Autonomous inspection of critical infrastructure with Unmanned Aerial Vehicles (UAVs), for example,
Externí odkaz:
http://arxiv.org/abs/2303.00371
Accurate 6D object pose estimation is an important task for a variety of robotic applications such as grasping or localization. It is a challenging task due to object symmetries, clutter and occlusion, but it becomes more challenging when additional
Externí odkaz:
http://arxiv.org/abs/2211.14125
Autor:
Brommer, Christian, Fornasier, Alessandro, Scheiber, Martin, Delaune, Jeff, Brockers, Roland, Steinbrener, Jan, Weiss, Stephan
For real-world applications, autonomous mobile robotic platforms must be capable of navigating safely in a multitude of different and dynamic environments with accurate and robust localization being a key prerequisite. To support further research in
Externí odkaz:
http://arxiv.org/abs/2210.09114
We present a novel approach for training deep neural networks in a Bayesian way. Classical, i.e. non-Bayesian, deep learning has two major drawbacks both originating from the fact that network parameters are considered to be deterministic. First, mod
Externí odkaz:
http://arxiv.org/abs/1902.10189
Autor:
Steinbrener, Jan, Dimitrievska, Vesna, Pittino, Federico, Starmans, Frans, Waldner, Roland, Holzbauer, Jürgen, Arnold, Thomas
Publikováno v:
In Heliyon April 2023 9(4)
Akademický článek
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Publikováno v:
In Computers and Electronics in Agriculture July 2019 162:364-372
Akademický článek
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Publikováno v:
European Radiology Experimental; 7/19/2023, Vol. 7 Issue 1, p1-11, 11p