no code implementations • 17 May 2024 • Nisha L. Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
The primary objective of methods in continual learning is to learn tasks in a sequential manner over time from a stream of data, while mitigating the detrimental phenomenon of catastrophic forgetting.
no code implementations • 9 Feb 2024 • Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler
We recorded a dataset at a motorway with eight interference classes on which our FSL method with quadruplet loss outperforms other FSL techniques in jammer classification accuracy with 97. 66%.
no code implementations • 14 Nov 2023 • Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
However, current channel-charting approaches lag behind fingerprinting in their positioning accuracy and still require reference samples for localization, regular data recording and labeling to keep the models up to date.
1 code implementation • 7 Oct 2022 • Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler
While CC has shown promising results in modelling the geometry of the radio environment, a deeper insight into CC for localization using multi-anchor large-bandwidth measurements is still pending.
no code implementations • 1 Aug 2022 • Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler
We show accuracy improvements for the APR-RPR task and for the RPR-RPR task for aerial vehicles and hand-held devices.
no code implementations • 16 Jul 2022 • Mohammad Alawieh, George Yammine, Ernst Eberlein, Birendra Ghimire, Norbert Franke, Stephan Jäckel, Tobias Feigl, Christopher Mutschler
Based on our measurement and simulation results, we propose a model for incorporating the signal reflection by obstacles in the vicinity of transmitter or receiver, so that the outcome of the model corresponds to the measurement made in such scenario.
no code implementations • 16 Jul 2022 • Mohammad Alawieh, Ernst Eberlein, Stephan Jäckel, Norbert Franke, Birendra Ghimire, Tobias Feigl, George Yammine, Christopher Mutschler
The models that capture the physical effects observed in a realistic deployment scenario are essential for assessing the potential benefits of enhancements in positioning methods.
no code implementations • 24 Mar 2022 • Sebastian Kram, Christopher Kraus, Tobias Feigl, Maximilian Stahlke, Jörg Robert, Christopher Mutschler
We propose a novel localization framework that adapts well to sparse datasets that only contain CMs of specific areas within the environment with strong multipath propagation.
no code implementations • 17 Dec 2019 • Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
Visual Odometry (VO) accumulates a positional drift in long-term robot navigation tasks.