Sec-CLOCs:多模式后端基于融合的在雪景中的物体检测算法

Rui Gong1, Xiangsuo Fan1,2, Dengsheng Cai3

  • 1School of Automation, Guangxi University of Science and Technology, Liuzhou 545006, China.

PubMed
概括

这项研究介绍了Sec-CLOCs,这是一种用于在重雪中进行强大的车辆检测的多式融合方法. 它增强了传感器数据,并结合了2D和3D检测,提高了驾驶安全.

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