本文主旨在於實現一能於大樓走廊中進行地圖式視覺導航之全自
主式自走車，整個系統只使用攝影機作為感測器來擷取外在環境資訊。
一般而言，地圖式導航系統包含三個步驟: 建立地圖、定位以及路徑規
劃等，本文採用人工的方式建立一拓撲式地圖來表示整個研究環境，並
且設定自走車的行駛路徑如巡邏車一般不停地環繞著走廊。由於本文的
導航系統之設計與走廊天花板之影像息息相關，所以利用了天花板許多
的特徵諸如明顯的線條、電燈以及轉角特徵等使系統可透過影像進行定
向和定位，並且設計一運動控制策略使自走車能在走廊中行駛。此外，
由於天花板影像經常會因光源的變化而導致方位判斷上錯誤，為了克服
光源變化的問題，本文提出以適應性閥值提高系統對環境的適應性與強
健性。實驗結果顯示本文所設計之導航系統，確實可令自走車成功地依
據已規劃好的路徑行駛。

This thesis focuses on the implementation of an autonomous mobile robot moving along the corridors in a building by map-based vision navigation, where a camera is the only sensor in the navigation system to gather environment information. Generally speaking, map-based navigation consists of three steps: Map-building, localization, and path planning. In our system, the map and path planning are highly related to the ceiling images, and those are defined by user. This thesis constructs a topological map to represent the environment in advance. The constructed map is used to help the autonomous mobile robot to move along the corridor like as a patrol robot. A webcam mounted on the mobile robot is used to capture the ceiling images to analyze the features such as distinctive line, ceiling light and corner features. According to the obtained feature and the pre-constructed topological map, the mobile robot can perform localization. A proper moving strategy is designed to guide the mobile robot to successfully move along the corridor. Since the ceiling image is sensitive to the fluctuation in illumination, therefore variation in illumination may result in localization failure. In order to cope with this problem, an adaptive threshold technique is employed to adjust parameter values used in the navigation system. Experimental results show that our autonomous mobile robot successfully moves along the desired path.

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