Multi-modal fusion overcomes the inherent limitations of single-sensor perception in 3D object detection of autonomous driving. The fusion of 4D Radar and LiDAR can boost the detection range and more robust. Nevertheless, different data characteristics and noise distributions between two sensors hinder performance improvement when directly integrating them.
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