【導(dǎo)讀】該設(shè)計是結(jié)合科研項目而確定的設(shè)計類課題。本系統(tǒng)以設(shè)計題目的要求為目的，和速度，自動尋跡和尋光功能。整個系統(tǒng)的電路結(jié)構(gòu)簡單，可靠性能高。試結(jié)果滿足要求，本文著重介紹了該系統(tǒng)的硬件設(shè)計方法及測試結(jié)果分析。通過編程來控制小車的速度；傳感器的有效應(yīng)用；師的指導(dǎo)下進行的研究工作及取得的成果。盡我所知，除文中特別加。究所取得的研究成果。除了文中特別加以標注引用的內(nèi)容外，本論文。不包含任何其他個人或集體已經(jīng)發(fā)表或撰寫的成果作品。究做出重要貢獻的個人和集體，均已在文中以明確方式標明。全意識到本聲明的法律后果由本人承擔。本學(xué)位論文作者完全了解學(xué)校有關(guān)保留、使用學(xué)位論文的規(guī)定，同意學(xué)校保留并向國家有關(guān)部門或機構(gòu)送交論文的復(fù)印件和電子版，允許論文被查閱和借閱。本人授權(quán)大學(xué)可以將本學(xué)位。印或掃描等復(fù)制手段保存和匯編本學(xué)位論文。涉密論文按學(xué)校規(guī)定處理。

　　

【正文】 據(jù) 送 圖 像 緩 沖 區(qū) 保 存 ， 且列 計 數(shù) 器 加 1H R E F 為 高 電 平 ？列 計 數(shù) 器 3 2 0 ？P C L K 處 于 上 升沿 ？行 列 計 數(shù) 器 加 1行 計 數(shù) 器 2 4 0 ？一 幅 圖 像 采集 完 畢YYNNNNYYYN 27 五、 參考文獻 主要參考文獻和技術(shù)資料 [1] 卓晴 . 學(xué)做智能車 挑戰(zhàn) “ 飛思卡爾 ” 杯 [M]. 北京： 北京航空航天大學(xué)出版社 2020 [2] 沙占友 . 集成化智能傳感器原理與應(yīng)用 [M]. 北京：電子工業(yè)出版社，2020 [3] 沙占友 . 智能傳感器系統(tǒng)設(shè)計與應(yīng)用 [M]. 北京：電子工業(yè)出版社，2020 [4] 劉迎春 . 現(xiàn)代新型傳感器原理與應(yīng)用 [M]. 北京 :國防工業(yè)出版社，1998 [5] 單成祥 .傳感器的理論與設(shè)計基礎(chǔ)及其應(yīng)用 [M]. 北京：國防工業(yè)出版社， 1999 [6] 馮英 . 傳感器電路原理與應(yīng)用 [M]. 成都：電子科技大學(xué)出版社，第一版， 1997 [7] 黃繼昌 .傳感器工作原理及應(yīng)用實例 [M]. 北京：人民郵電出 版社，第一版， 1998 [8] 曲波，肖圣兵 . 工業(yè)常用傳感器選型指南 [M]. 北京：清華大學(xué)出版社，2020 [9] Carsten Steger . 機器視覺算法與應(yīng)用 [M]. 北京：清華大學(xué)出版社，2020 [10] 白英彩 . 微型計算機常用芯片手冊 [M]. 上海：上?？萍汲霭嫔纾?2020 [11] 謝宜仁 . 單片機實用技術(shù)問答 [M]. 北京：人民郵電出版社， 2020 [12] 劉必虎 . 中小規(guī)模集成電路的原理與應(yīng)用 [M]. 上海：上?？萍汲霭嫔纾?2020 [13] 馬忠梅，籍順心，張凱等 .單片機的 C 語言應(yīng)用程序設(shè)計 [M].北京航空航天大學(xué)出版社， 2020. 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Not only did its interchangeable parts inaugurate easy and economical mass production , but its “userfriendly” operation allowed almost anyone to drive . Nearly 90 years later , the motor vehicle is resembling less and less Ford’s simple machine and quickly being a plex “mobile puter” , capable of acting as a navigator a safeguard ,and even , a second drive . These new capabilities will not only change how we drive 。 intelligent vehicles could also enhance transportation services , save lives , and bolster the petitiveness of . industries . However , intelligent vehicles aren’t quite here . Instead , the ponents that make vehicles smarter – new information , safety , and automation technologies – are arriving on the market as piecemeal accessories , offered either as optional equipment by new vehicle manufacturers or as special ponents by aftermarket suppliers . There technologies are being developed and marketed to increase drive safety , performance , and convenience . These individual technologies , however , have yet to being integrated to create a fully intelligent vehicle that works cooperatively with the drive . The automotive industry is already aware of and addressing potential problems associated with the uncoordinated influx of technology . But their progress is hampered by technical and economic obstacles , uncertain consumer interest , and insufficient standards and guidelines . Also , neither original vehicle manufacturers or government regulators ( unless safety problems are clearly proven ) have control over aftermarket products , especially their use in trucks and buses . However , without a “humancentered” design approach for the intelligent vehicle that attempts to integrator and coordinate various technologies , we may not only lose the opportunity to realize the benefits offered by new invehicle technologies , but we could inadvertently degrade safety and performance . Recognizing the importance of smart vehicles and the potential for unintended consequences if human factors are not placed at the center of their design , Dot launched the Intelligent Vehicle Initiative (IVI) in 1997 . This initiative aims to accelerate the development , availability , and use of integrated invehicle systems that help drivers of cars , trucks , and buses operate more safety and effectively . The 1980s television series “Knight Rider “ featured an intelligent vehicle that could leap moderately tall buildings , drive itself at seemingly supersonic speeds , spy 30 on bad guys , and had the diction and personality of an English butler . The car was not only smart , but smartalecky . Although intelligent vehicles in the real world will not be able to fly over standing traffic , they will have formidable capabilities . As envisioned by IVI , smart vehicles will be able to give route directions , sense objects , warn drivers of impending collisions , automatically signal for help in emergencies , keep drivers alert , and may ultimately be able to take over driving . The use of information and puterbased technologies in motor vehicles , however , is not new . Wide scale puterization of motor vehicles began in the 1980s with technologies designed to enhance vehicle operation and drive fort . These technologies included electronic fuel injection to control engine performance , particularly aimed at enhancing the capabilities of the vehicles , the most recent wave of invehicle technology , which is of most interest to IVI , are the intelligent transportation systems designed to enhance the capabilities of the driver . These systems include warning and information , driver assistance , and automation technologies . Just as people possess different specialized abilities , invehicle ITS technologies endow vehicles with different types and levels of “intelligence” to plement the driver , Driver information systems expand the driver’s knowledge of routes and locations . Warning systems , such as collisionavoidance technologies , enhance the driver’s ability to sense what’s going