自動倒車在學術界已有一些相關的文獻研究，如首先利用類神經網路來處理含有非線性極高的倒車問題，但須耗時相當多時間來訓練，所以都有收斂時間過長的缺點。另外也有用模糊理論來處理此問題，但是其所用的控制規則太多。
本論文主要是使用適應性類神經模糊推論系統（ANFIS）來設計自動倒車系統控制器。其原理為利用了多層式類神經網路的架構，來實現調適性的模糊推論系統。根據模擬結果可知，利用ANFIS來設計控制器可以達成順利倒車的目標。另外，在實作上，改裝市售的模型車當實驗車。控制晶片則以ALTERA公司所生產的可程式邏輯元件CPLD先作好角度及速度控制器電路，並將ANFIS控制器所計算的角度命令和速度命令燒錄在CPLD的記憶體中，以開迴路的方式來驗證。

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