58 citations · 134 across the 6 of their papers we have counts for
8 papers
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation
Johanna Rock, Wolfgang Roth, Mate Toth +2
Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous vehicles. With a rising number of radar sensors and the so far unregulated a…
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation
Alexander Fuchs, Johanna Rock, Mate Toth +2
Autonomous driving highly depends on capable sensors to perceive the environment and to deliver reliable information to the vehicles' control systems. To increase its robustness, a…
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals
Johanna Rock, Mate Toth, Paul Meissner +1
Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous cars. Key performance factors are a fine range resolution and the possibilit…
Quantized Neural Networks for Radar Interference Mitigation
Johanna Rock, Wolfgang Roth, Paul Meissner +1
Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous vehicles. Key performance factors are weather resistance and the possibility…
Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks
Johanna Rock, Mate Toth, Elmar Messner +2
Driver assistance systems as well as autonomous cars have to rely on sensors to perceive their environment. A heterogeneous set of sensors is used to perform this task robustly. Am…
Cognitive Indoor Positioning and Tracking using Multipath Channel Information
Erik Leitinger, Paul Meissner, Klaus Witrisal
This paper presents a robust and accurate positioning system that adapts its behavior to the surrounding environment, mimicking the capability of the visual brain to filtering out…
Evaluation of Position-related Information in Multipath Components for Indoor Positioning
Erik Leitinger, Paul Meissner, Christoph Rüdisser +2
Location awareness is a key factor for a wealth of wireless indoor applications. Its provision requires the careful fusion of diverse information sources. For agents that use radio…
Accurate and Robust Indoor Localization Systems using Ultra-wideband Signals
Paul Meissner, Erik Leitinger, Markus Fröhle +1
Indoor localization systems that are accurate and robust with respect to propagation channel conditions are still a technical challenge today. In particular, for systems based on r…