基于圖像處理算法的嵌入式交通信號控制系統(tǒng)的研究與設(shè)計(jì)
發(fā)布時(shí)間:2018-04-30 11:42
本文選題:嵌入式系統(tǒng) + 智能交通。 參考:《內(nèi)蒙古大學(xué)》2015年碩士論文
【摘要】:在智能交通系統(tǒng)(ITS)技術(shù)應(yīng)用領(lǐng)域,如何根據(jù)道路車輛實(shí)時(shí)擁堵狀態(tài)自動調(diào)整交通信號顯示是實(shí)現(xiàn)智能交通的一個(gè)重要內(nèi)容。然而,由于道路檢測場景的復(fù)雜性,以及車輛之間互相遮擋、陰影、積水或晝夜轉(zhuǎn)換等因素的影響,使得通過圖像處理方法獲得道路車輛排隊(duì)數(shù)量,并基于嵌入式系統(tǒng)設(shè)計(jì)實(shí)現(xiàn)智能交通信號控制系統(tǒng)就成為一個(gè)有意義的實(shí)際課題;谇度胧降慕煌ǹ刂葡到y(tǒng)在擴(kuò)展功能、減小系統(tǒng)體積、降低功耗和成本、提高控制實(shí)時(shí)性及穩(wěn)定性等方面有無可比擬的優(yōu)點(diǎn),因此研究基于圖像處理算法的嵌入式智能交通信號控制系統(tǒng)具有很大的實(shí)際意義。課題“基于圖像處理算法的嵌入式交通信號控制系統(tǒng)的研究與設(shè)計(jì)”旨在以嵌入式S3C2440芯片和相關(guān)外圍硬件構(gòu)建一個(gè)嵌入式交通信號控制系統(tǒng),將攝像頭采集的道路車輛圖像經(jīng)過相關(guān)圖像處理算法處理后獲得排隊(duì)車輛輪廓特征等信息及具體車輛個(gè)數(shù),作為嵌入式交通信號控制系統(tǒng)的判斷依據(jù)。論文主要二[作是在該系統(tǒng)上完成了Linux3.10.42內(nèi)核編譯及移植、文件系統(tǒng)構(gòu)建、驅(qū)動編譯及移植、軟件層各接口函數(shù)以及主函數(shù)的編譯實(shí)現(xiàn)。系統(tǒng)依據(jù)圖片處理結(jié)果能夠?qū)崟r(shí)調(diào)控紅綠燈顯示時(shí)間,使交通信號能夠?qū)崟r(shí)高效的規(guī)制交通,達(dá)到提高交通道路通行率的目的。
[Abstract]:In the application of Intelligent Transportation system (its) technology, how to automatically adjust the traffic signal display according to the real-time traffic congestion is an important content of its. However, because of the complexity of road detection scene and the influence of mutual occlusion, shadow, water accumulation or diurnal conversion between vehicles, the queue number of road vehicles can be obtained by image processing. And the design and implementation of intelligent traffic signal control system based on embedded system has become a meaningful practical issue. The traffic control system based on embedded system has unparalleled advantages in extending function, reducing system volume, reducing power consumption and cost, improving real-time control and stability, etc. Therefore, it is of great practical significance to study the embedded intelligent traffic signal control system based on image processing algorithm. The research and design of embedded traffic signal control system based on image processing algorithm aims to construct an embedded traffic signal control system based on embedded S3C2440 chip and related peripheral hardware. The road vehicle images collected by the camera are processed by the related image processing algorithm to obtain the information such as the contour features of the queuing vehicles and the number of the vehicles, which can be used as the judgment basis of the embedded traffic signal control system. The main work of this paper is to compile and transplant Linux3.10.42 kernel, build file system, compile and transplant driver, compile and implement interface functions and main functions in the software layer. According to the result of image processing, the system can control the time of traffic light display in real time, make the traffic signal can regulate the traffic in real time and efficiently, and achieve the purpose of improving the traffic rate.
【學(xué)位授予單位】:內(nèi)蒙古大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:U491.51
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 鮑曉東;;智能交通系統(tǒng)的現(xiàn)狀及發(fā)展[J];北京工業(yè)職業(yè)技術(shù)學(xué)院學(xué)報(bào);2007年02期
相關(guān)碩士學(xué)位論文 前1條
1 曹明革;基于智能視頻檢測技術(shù)的交通燈控制[D];山東科技大學(xué);2011年
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