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Bi-Att3DDet:基于注意力的双向融合,用于多模式的3D对象检测

Xu Gao1,2, Yaqian Zhao1,2, Yanan Wang1,2

  • 1School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
概括

本研究介绍了Bi-Att3DDet,这是一个用于自动驾驶中多式联络3D物体检测的新型网络. 它增强了LiDAR和RGB数据之间的功能融合,提高了检测准确性和有效地利用互补的传感器信息.

关键词:
3D对象检测检测 3D对象检测注意力机制注意力机制自动驾驶自动驾驶的自动驾驶.多模式传感器融合技术

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