AI RESEARCH
mRadNet: A Compact Radar Object Detector with MetaFormer
arXiv CS.CV
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ArXi:2509.16223v3 Announce Type: replace-cross Frequency-modulated continuous wave radars have gained increasing popularity in the automotive industry. Their robustness against adverse weather conditions makes it a suitable choice for radar object detection in advanced driver assistance systems. These real-time embedded systems have requirements for the compactness and efficiency of the model, which have been largely overlooked in previous work. In this work, we propose mRadNet, a novel radar object detection model with compactness in mind.