| 研究生: |
潘齊偉 Pan, Chi-Wei |
|---|---|
| 論文名稱: |
應用類神經網路於車用抬頭顯示器之衛星導航最適化介面模式設計 The Study of Neural Network Techniques on the Interface Display of Portable Navigation Device with Head-up Display |
| 指導教授: |
林銘泉
Lin, Ming-Quan |
| 共同指導教授: |
蕭世文
Xiao, Shi-Wen |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2012 |
| 畢業學年度: | 100 |
| 語文別: | 中文 |
| 論文頁數: | 89 |
| 中文關鍵詞: | 抬頭顯示器 、衛星導航裝置 、倒傳遞類神經網路 、族群特徵 |
| 外文關鍵詞: | Head-up display, Portable navigation device, Back-Propagation Neural Network |
| 相關次數: | 點閱:173 下載:3 |
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近年來國民在選購家用交通工具時除了要求基本功能及安全性之外,更將舒適感、便利性、行車效率、附載人數、外觀設計等通盤條件列入選購的要素之中,促使許多企業推出車用周邊 3C 產品如行車紀錄器、衛星導航裝置、攜帶型數位電視等,來滿足駕駛人及乘客各個方面的需求。其中以現今車用配備最為普遍的衛星導航裝置為例,這類 3C 產品放置的位置多半外接於駕駛座前儀表板的右下方,視野範圍更因顯示螢幕與廠牌的不同,使其導航效率難以掌控。許多汽車大廠為解決這類問題,導入原本用於航空飛行器的抬頭顯示器於汽車資訊顯示界面設計之中,利用投影技術提供駕駛人必要資訊,以期提升行車效率及安全。這項投影技術應用於汽車設計為近年來才興起的一項研究課題,並且有可能成為未來衛星導航裝置發展的新形態,利用 HUD 技術該投影出哪些導航資訊,以及其圖像該以何種方式呈現能夠提升駕駛績效,這是值得深入探討的方向。本研究將透過實驗分析及類神經網路模擬,找出適合不同族群之投影式導航介面與其投影位置,以給予未來介面設計師一個客觀的最適化介面建議。
When people choose their vehicle, they not only consider about the basic function, and security, but about comfortable, convenient, efficiency, exterior. Lots of companies sell some 3C products (Computer, Communications, Consumer-Electronics) to satisfy the driver and passenger's requirement, such as portable navigation device (PND), photograph device, package television and so on. Portable navigation device is the most popular 3C product for vehicle,which usually set on the lower side of the instrument panel in the car. This kind of Design makes the driver unable to see the monitor clearly. It can make the situation become danger while the driver can not see both of the monitor and the real road. Some Automobile sellers use new technique apply in vehicle interior design which come from airplane's device. It is called Head-up display (HUD). This new technique can let driver see the important information on the windshield, instead of lower their head to see the monitor. It is safer than before when driving the car. How can we use HUD to make driver safe, and what kind of information will be suit for HUD to show on the windshield. Those questions will be talk about in this project.
This study through experimental analysis and Back-Propagation Neural Network to identify the projector-style navigation interface for different ethnic groups and its projection position to give interface designers an objective optimization interface recommendations.
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