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Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks
Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu +1
In autonomous driving, radar systems play an important role in detecting targets such as other vehicles on the road. Radars mounted on different cars can interfere with each other,…
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks
Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu
Radar sensors are gradually becoming a wide-spread equipment for road vehicles, playing a crucial role in autonomous driving and road safety. The broad adoption of radar sensors in…
Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation
Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu
The interest of the automotive industry has progressively focused on subjects related to driver assistance systems as well as autonomous cars. Cars combine a variety of sensors to…