本文為美國阿肯色大學（作者：ZacharyR. Sabey）的學士論文，共44頁。

如今，許多工業和商業應用開始使用無人系統來提高生產力，並降低生產和人力成本。這些應用中的大多數產品都是半無人化的，它們仍然需要人類來啟動或接收連續的指令。隨著影象處理技術、攝像機處理能力和更高效的車輛改進，已經可以實現新一代的無人駕駛車輛。本文開發了一種連線到RC車輛的基於專用影象處理器的簡單系統，以便為當前可行的新技術提供示例。

Pixycam是一種專用的彩色色調影象處理攝像機，可用於允許RC車輛自主跟蹤彩色物體。實驗結果表明，利用Pixycam和RC車輛相結合可以成功地跟蹤明亮環境下的彩色物體。為了驗證該系統及其不同的效能，使用MATLAB和Pixymon對攝像機的影象處理能力進行了模擬和比較，然後在平坦面上通過運動車輛使用最終設計的系統和彩色物體來測試系統的響應能力。

Many industrial and commercial applicationstoday are beginning to use autonomous systems to increase productivity and cutcosts in production and manpower. Most of these applications are onlysemi-autonomous; they still need assistance from a human to either start up orreceive continual instructions. With the improvement of image processingtechniques, camera processing capabilities and more efficient vehicles, a newwave of fully autonomous vehicles can be implemented. A simple system that usesa dedicated image processor connected to an RC vehicle can be developed toprovide an example for the new techniques currently available. The Pixycam, adedicated color-hue image processing camera, can be used to allow an RC vehicleto track colored objects autonomously. The results of this system show that thecombination of the Pixycam and an RC vehicle can be used to successfully trackand follow colored objects in well-lit environments. In order to demonstratethis system and its different capabilities, MATLAB and Pixymon were used tosimulate and compare the image processing power of the camera. The final systemand colored objects were then used to move the vehicle around on a flat surfacetesting the responsiveness of the system.

1 引言
2 專案背景
3 MATLAB/SIMULINK模擬
4 系統物理實現
5 結論
附錄A 參考文獻
附錄B MATLAB原始碼
附錄C PIC 18f2420的MPLAB程式碼

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