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精确的室内定位使用轻量级的2D-CNN与自适应温度引导的代自我知识蒸.

Muhammad Rizwan1, Yin Hoe Ng2, Hin-Yong Wong1

  • 1Faculty of Artificial Intelligence and Engineering, Multimedia University, 63100, Cyberjaya, Malaysia.

Scientific reports
|November 7, 2025
PubMed
概括

这项研究引入了一种新的轻量级卷积神经网络 (CNN),用于使用Wi-Fi和蓝牙信号准确的室内定位. 该方法可将定位精度提高8%以上,并将误差降低到2.24m,使其适用于资源有限的设备.

关键词:
3D卷积神经网络是一个3D卷积神经网络.计算复杂性 计算复杂性室内本地化 室内本地化知识的蒸知识的蒸.接收器的信号强度指示器.

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