基於毫米波雷達的人數偵測方法

專利類型

發明

專利國別 (專利申請國家)

中華民國

專利申請案號

111142699

專利證號

I 800471

專利獲證名稱

基於毫米波雷達的人數偵測方法

專利所屬機關 (申請機關)

元智大學

獲證日期

2023/04/21

技術說明

在此專利中，我們利用毫米波雷達提出了新穎且有效的室內人數偵測系統，雷達所產生的資料當中我們可以利用直角坐標的轉換得到3D雷達點雲，在傳統的人數辨識中存在很多問題，因此我們提出了一種特徵提取的方法以便加強機器學習的效果，我們將人數偵測視為分類的問題，所以在這裡使用KNN模型，實驗準確率為95.8%，經過比較後發現優於目前的其他方法。 In this work, a novel robust on-line indoor occu-pancy counting approach is proposed using the millimeter wave(mmWave) frequency-modulated continuous-wave (FMCW) radar. The acquired radar data can be represented as sparse three-dimensional (3D) radar point-clouds. The conventional indoor occupancy-counting schemes suffer from various types of errors and uncertainties emerging from mmWave radar sensors. Thus, we propose a novel feature-extraction strategy to obtain the robust fea-tures for training the machine-learning driven occupancy-counter. We formulate the underlying indoor occupancy-counting problem as the multi-classification problem such that the k nearest neighbor(KNN) classifier is adopted to identify the number of occupants on line. Experimental results from realworld data demonstrate that our proposed new approach leads to a promising classification-accuracy of 95.8% for indoor occupancy counting. In the comparative study based on the realworld data,our proposed novel indoor occupancy-counting method greatly outperforms other existing schemes.

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