在本篇論文中， 提出設計並實作高度整合的自動化無人飛行器(UAV)航空測繪系統。傳統地面測量耗費大量人力資源與時間，而傳統的定翼機航空測量則受限於飛行高度的限制，需安裝昂貴的專業相機。有鑑於以上情境，本篇論文以開源UAV硬體實作並整合影像傳輸系統以及影像穩定系統，完成無人機自動化航空測量系統，其優點如下: 1.大幅降低測量所需的時間。 2.優化航測路徑規劃並提高任務效率。 3.單一操作者即可完成複雜的測量任務。 最後，將本論文所設計和實作的系統進行實地測試，並將所收集之影像資訊透過後製軟體，成功輸出為地理資訊數據。 This thesis proposes a systematic and unified approach for design and implementation of unmanned aerial vehicles in autonomous surveying. Traditional ground surveying consumes large human resources and time. On the other hand, fixed-wing aerial surveying is restricted by the cursing altitude, where a high-cost professional camera is needed. In light of the above, this thesis implements an open source UAV system which integrates first person view (FPV) and image stabilization systems. The advantages of the approach are three fold: i) minimization of surveying time; ii) optimization of path efficiency; and iii) allowance of an individual person to execute complex tasks. Finally, the proposed system is field tested with captured images processed into geospatial data.
