3 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.SP2023★ 3 cited
Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar
Christian Oswald, Mate Toth, Paul Meissner +1
In automotive applications, frequency modulated continuous wave (FMCW) radar is an established technology to determine the distance, velocity and angle of objects in the vicinity o…
cs.LG2023★ 1 cited
End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation
Christian Oswald, Mate Toth, Paul Meissner +1
In this paper we propose a new method for training neural networks (NNs) for frequency modulated continuous wave (FMCW) radar mutual interference mitigation. Instead of training NN…