本論文以環場攝影機為主要監控器具，提出一演算法則來自動決定一組攝影機的架設位置，以達到其整體堅控範圍能完整的覆蓋一停車場。我們將車場看成一任意多邊形，而每一攝影機的監控範圍為一小圓形，因此我們希望找到一組攝影機，其監控範圍的聯集可以含蓋多邊形車場。這個問題到現在仍在尋找較佳的解法，且多只限於一些特殊形狀的多邊形之處理，而本文提出的方法則可以解決任意形狀。系統主要包含前處理、攝影機校正、路徑規劃、攝影機設置以及產生environmental map五個步驟。於前處理中，我們將停車場的平面設計圖掃描後得到平面圖影像，並記錄下平面設計圖的比例尺及影像解析度，以便藉由它們來計算出影像上的像素所對應的3D尺寸；在攝影機校正中，主要想得到影像平面與真實空間之間的關係，由此關係來得到攝影機在真實空間與影像中之監控半徑的對應關係；接著我們使用一兩階段的類神經網路於影像上分別從事路徑規劃及攝影機配置的工作；最後產生一environmental map可供未來應用，例如車輛追蹤使用以及多攝影機之間的協調(coordination)。在實驗結果中，我們提出數個例子以驗證我們的方法。

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