本文選題：交通圖像 + 車數(shù)提取　； 參考：《西安建筑科技大學》2015年碩士論文

【摘要】：隨著社會的不斷發(fā)展以及國民生活水平的提高,我國汽車的保有量也隨之增加,進而造成越來越嚴重的交通擁堵,給人們的出行帶來諸多不便,開發(fā)出一套行之有效的智能交通系統(tǒng)對監(jiān)測和緩解交通擁堵具有重要的現(xiàn)實意義。本課題以智能交通信息采集終端為研究對象,以路況圖像檢測為研究重點,開展智能交通系統(tǒng)信息采集終端的研究。主要研究內(nèi)容如下:首先開展對圖像的預(yù)處理以及和背景圖片相比較等算法的研究,進行圖像信息和車流速信息的整合算法的研究,進行對現(xiàn)有算法的整合,設(shè)計出適合本系統(tǒng)的最優(yōu)算法,通過這些算法來實現(xiàn)交通流量檢測和交通路況的判定,并利用MATLAB進行仿真,以驗證該算法的可行性和精度。其次是進行智能交通系統(tǒng)信息采集終端的硬件設(shè)計。該硬件系統(tǒng)包括:交通圖像信息的采集模塊,利用測速線圈進行的車速檢測模塊,數(shù)據(jù)的存儲模塊和圖像處理模塊。通過設(shè)計該硬件的具體電路將各個模塊整合在一起,組成所需要特定功能的硬件系統(tǒng),之后再對該系統(tǒng)的各個模塊進行測試,檢查各個模塊是否能正常工作以及檢查模塊之間是否連接正確。最后是算法移植,將整合后的算法移植到本系統(tǒng)采用的DSP中,利用Visual DSP++5.1集成開發(fā)環(huán)境,調(diào)試基于ADSP-BF533的智能交通系統(tǒng)信息采集處理算法,實現(xiàn)系統(tǒng)的模擬運行。實驗表明,系統(tǒng)能夠?qū)慕煌▓D像中提取出的車數(shù)信息和模擬出的車速數(shù)據(jù)進行整合,并能準確判斷出該研究路段的路況。
[Abstract]:With the continuous development of society and the improvement of national living standards, the number of cars in our country has also increased, which has caused more and more serious traffic congestion, and brought a lot of inconvenience to people's travel. It is very important to develop an effective intelligent transportation system for monitoring and alleviating traffic congestion. In this paper, the intelligent transportation information acquisition terminal is taken as the research object, and the road condition image detection is the focus of the research, and the research of the intelligent transportation system information acquisition terminal is carried out. The main research contents are as follows: firstly, the image preprocessing and background image comparison algorithms are studied, and the integration algorithms of image information and vehicle velocity information are studied, and the existing algorithms are integrated. An optimal algorithm is designed for this system, which can be used to detect traffic flow and determine traffic condition. MATLAB is used to simulate to verify the feasibility and accuracy of the algorithm. Secondly, the hardware design of intelligent transportation system information acquisition terminal is carried out. The hardware system includes: traffic image information acquisition module, speed detection module using speed coil, data storage module and image processing module. By designing the specific circuit of the hardware, the modules are integrated together to form a hardware system with specific functions, and then the modules of the system are tested. Check that each module works properly and that the connection between modules is correct. Finally, the algorithm is transplanted, the integrated algorithm is transplanted to the DSP used in this system, and the intelligent transportation system information collection and processing algorithm based on ADSP-BF533 is debugged by using Visual DSP 5.1 integrated development environment to realize the simulation operation of the system. The experimental results show that the system can integrate the vehicle number information extracted from the traffic image and the simulated speed data, and can accurately judge the road condition of the studied section.
【學位授予單位】：西安建筑科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U495;TP391.41

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本文編號：2075195