Interference mitigation techniques in FMCW automotive radars
Muhammad Rameez
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Polarimetric Radar for Automotive Applications
Current automotive radar sensors prove to be a weather robust and low-cost solution, but are suffering from low resolution and are not capable of classifying detected targets. However, for future applications like autonomous driving, such features are becoming ever increasingly important.
openaire +1 more source
Antenna array design solutions for millimeter-wave vehicle-integrated automotive radars
Claudia Vasanelli
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A Survey of Automotive Radar Misalignment Detection Techniques
Danish Sharif +2 more
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Deep segmentation of 3+1D radar point cloud for real-time roadside traffic user detection. [PDF]
Bhanderi S, Agrawal S, Elger G.
europepmc +1 more source
Targetless Radar-Camera Calibration via Trajectory Alignment. [PDF]
Durmaz O, Cevikalp H.
europepmc +1 more source
Data rate reduction for chirp-sequence based automotive radars using compressed sensing
Fabian Roos +5 more
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Intelligent Sensors for Smart and Autonomous Vehicles. [PDF]
Barabás I, Iclodean C, Zöldy M.
europepmc +1 more source
REHEARSE-3D: A Multi-Modal Emulated Rain Dataset for 3D Point Cloud De-Raining. [PDF]
Raisuddin AM +6 more
europepmc +1 more source
Gamma-Based Statistical Modeling for Extended Target Detection in mmWave Automotive Radar [PDF]
Vinay Kulkarni +1 more
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