4 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.SP2026★ 4 cited
RadarCNN: Learning-based Indoor Object Classification from IQ Imaging Radar Data
Stefan Hägele, Fabian Seguel, Driton Salihu +2
Radar sensors operating in the mmWave frequency range face challenges when used as indoor perception and imaging devices, primarily due to noise and multipath signal distortions. T…
eess.SP2025
RadarFuseNet: Phase-Weighted Complex-Valued Cross-Attention Fusion for Radar Signal Classification
Stefan Hägele, Adam Gorriahn, Philipp Wolters +1
Millimeter-wave (mmWave) radar is a compact sensing technology that is particularly well suited for perception tasks in situations where vision-based sensors are limited, such as u…