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Florian Kastner
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2020 – today
- 2021
- [j1]Alessandro Cennamo, Florian Kästner, Anton Kummert:
A Neural Network Based System for Efficient Semantic Segmentation of Radar Point Clouds. Neural Process. Lett. 53(5): 3217-3235 (2021) - [c9]Alessandro Cennamo, Florian Kästner, Anton Kummert:
Towards Pedestrian Detection in Radar Point Clouds with Pointnets. ICMVA 2021: 1-7 - 2020
- [c8]Alessandro Cennamo, Florian Kästner, Anton Kummert:
Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks. EANN 2020: 119-131
2010 – 2019
- 2018
- [c7]Benedikt Janßen, Florian Kästner, Tim Wingender, Michael Hübner:
A Dynamic Partial Reconfigurable Overlay Framework for Python. ARC 2018: 331-342 - [c6]Florian Kästner, Dirk Kuschnerus, Christoph Spiegel, Benedikt Janßen, Michael Hübner:
Design of an efficient Communication Architecture for Cyber-Physical Production Systems. CASE 2018: 829-835 - [c5]Florian Kästner, Florian Werner, Erman Seydioglu, Michael Hübner:
Design and Open Source Implementation of a Reconfigurable Hardware Model Predicitive Controller Using Online Optimization. DASIP 2018: 1-6 - [c4]Florian Kastner, Benedikt Janßen, Frederik Kautz, Michael Hübner, Giulio Corradi:
Hardware/Software Codesign for Convolutional Neural Networks Exploiting Dynamic Partial Reconfiguration on PYNQ. IPDPS Workshops 2018: 154-161 - 2017
- [c3]Florian Kastner, Michael Hübner, Jochen Ohrem, Ludwig Cliisserath:
Towards adaptive and efficient bottling plants in a cyber physical production system environment. AHS 2017: 85-92 - [c2]Florian Kastner, Benedikt Janßen, Sebastian Schwanewilms, Michael Hübner:
A rapid control prototyping platform methodology for decentralized automation. DASIP 2017: 1-2 - 2016
- [c1]Fynn Schwiegelshohn, Florian Kastner, Michael Hübner:
Enabling Dynamic Reconfiguration of Numerical Methods for the Robotic Motion Control Task. IPDPS Workshops 2016: 283-288
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