T-RODNet: Transformer for Vehicular Millimeter-Wave Radar Object Detection

Environmental perception technology is key to self-driving. Nowadays, this is mostly conducted using cameras and LiDAR, despite their poor immunity to interference and high price. The millimeter-wave radar can solve these problems, but the current radar-based models suffer from over-complexity and p...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2023, Vol.72, p.1-12
Hauptverfasser:	Jiang, Tiezhen, Zhuang, Long, An, Qi, Wang, Jianhua, Xiao, Kai, Wang, Anqi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Coders Complexity Convolutional neural network (CNN) Datasets environment awareness Feature extraction Interference Millimeter waves Modelling Modules Object detection Object recognition Performance enhancement Radar Radar detection radar object detection (ROD) self-driving Solid modeling Three-dimensional displays transformer Transformers
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