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研究生： 彭孟璿
Meng-xuan Peng
論文名稱： 線上駕駛建模與駕駛狀態判別之正確性評估
Validity Evaluations of On-line Driver Modeling and State Assessment
指導教授： 陳亮光
Liang-Kuang Chen
口試委員: 高維文
none
楊炳德
none
學位類別： 碩士
Master
系所名稱： 工程學院 - 機械工程系
Department of Mechanical Engineering
論文出版年： 2007
畢業學年度： 95
語文別： 中文
論文頁數： 87
中文關鍵詞： 駕駛行為 、駕駛模型 、駕駛模型正確性 、類神經網路 、狀態估測 、安全系統
外文關鍵詞： driver behavior, driver model, validity of driver model, neural networks, state estimation, security systems
相關次數： 點閱：280  下載：2 
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    • 雖然駕駛操控模型的建立以及線上識別技術已被廣泛的研究，但是應用線上駕駛模型資訊於駕駛狀態判別的相關研究卻不多，在過去文獻中，對於線上所識別之駕駛操控模型正確性以及駕駛狀態判別之可靠度的評估也未被提出。在本研究中，透過統計與機率的分析技術對於線上所識別之駕駛模型的正確性建立即時量化指標，之後對於線上模型資訊進行資料探勘找出和不同駕駛狀態最為相關之各參數並以機率類神經網路建立線上駕駛狀態判別機制，此外透過機率類神經網路內部機制對於判別結果建立信心指標以進行量化的描述。初步試驗以及線上實驗結果皆顯示本研究所提出之指標能夠合理的描述駕駛模型相對於實際駕駛行為之正確性，而駕駛狀態的判別結果則顯示本研究所提出之駕駛狀態判別機制有超過百分之九十五的正確率。

    摘要....................................................................Ⅰ 目錄....................................................................Ⅱ 圖表目錄................................................................Ⅳ 第一章 緒論............................................................1 1.1 研究背景與動機......................................................1 1.2 文獻探討............................................................3 1.2.1 駕駛狀態判別模型..........................................3 1.2.2 控制理論之駕駛模型........................................4 1.2.3 類神經網路之駕駛模型......................................8 1.2.4 駕駛模型之不確定性........................................11 1.2.5 文獻總結..................................................11 1.3 工作項目........................................................12 1.4 預期貢獻........................................................12 第二章 理論基礎........................................................13 2.1 車輛動力模型的建構..................................................14 2.2 線上識別駕駛模型結構的選擇..........................................18 2.3 駕駛模型參數的識別..................................................20 2.4 駕駛模型資訊的取得..................................................22 2.5 機率類神經網路......................................................24 2.6 駕駛狀態判別參數的挑選..............................................27 2.7 駕駛模型及駕駛狀態判別結果評估準則..............................29 2.7.1 模型可靠區間的計算........................................29 2.7.2 Theil U的計算............................................30 2.7.3 駕駛狀態判別結果之信心指標................................30 2.8 駕駛狀態判別輔助驗證系統........................................31 2.8.1 臉部區域偵測..............................................31 2.8.2 眼部位置偵測與眼睛狀況識別................................33 2.8.3 疲勞程度計算..............................................34 第三章 實驗設備與線上實驗規劃..........................................35 3.1 線上駕駛模擬器硬體架構..............................................35 3.2 機器視覺系統所使用之影像擷取設備....................................37 3.3 線上實驗規劃........................................................38 第四章 初步試驗與線上駕駛實驗結果......................................39 4.1 初步試驗結果........................................................40 4.1.1 模型正確性指標計算結果與探討..............................40 4.1.2 駕駛狀態判別機制輸入參數的挑選............................46 4.1.3 駕駛狀態判別機制初步試驗結果與信心指標的建立..............49 4.2 線上駕駛實驗結果....................................................53 4.2.1 疲勞駕駛實驗結果..........................................53 4.2.2 慌亂駕駛實驗結果..........................................63 第五章 結論與未來方向..................................................71 5.1 總結................................................................71 5.2 結論................................................................71 5.3 未來工作與展望......................................................72 參考文獻................................................................73 附錄A 線上實驗規劃.....................................................83

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