Researchers claim improved small object detection with multi-modal 3D network

A team of academic researchers has developed the Dynamic Point-Pixel Feature Alignment network, known as DPPFA-Net, to address the issue of accurately detecting small objects for robots and autonomous vehicles. When compared to other existing 3D object detection methods, this model demonstrated a significant improvement in average precision, achieving a 7.18 percent increase across various noise conditions.

Auto makers have been adding face biometrics to vehicles like the Genesis GV60 for door unlocking, even as smart automobile developers stake …

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