本文關(guān)鍵詞：基于DM6437的不同照度下閾值選取對車道偏離預(yù)警系統(tǒng)影響的研究　出處：《長安大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 車道偏離預(yù)警系統(tǒng) DM6437 照度 二值化閾值 車道線提取算法 車道偏離預(yù)警試驗

【摘要】：車道偏離預(yù)警系統(tǒng)在現(xiàn)在道路交通安全中起著越來越重要的作用，是現(xiàn)代交通中重要的安全輔助系統(tǒng)。車道偏離預(yù)警系統(tǒng)中最關(guān)鍵的一步就是對車道線的識別和提取，，其中閾值的選取對車道線的識別有著重要的影響。本文通過試驗分析了照度對二值化閾值選取的影響。 本文的硬件平臺是TMS320DM6437評估板，以此作為車道偏離預(yù)警系統(tǒng)的核心，并根據(jù)板載Flash的特點，編寫相應(yīng)的燒寫Flash的程序，將程序固化在評估板的Norflash中，實現(xiàn)了系統(tǒng)的脫機(jī)運(yùn)行。為了研究照度對閾值選取的影響，本文為硬件平臺添加了照度傳感器模塊；照度傳感器通過I2C總線與51單片機(jī)通訊，51單片機(jī)將采集到的照度數(shù)據(jù)通過串口通訊實時地將照度發(fā)送給DM6437，并且照度值能夠通過1602液晶顯示屏實時顯示出來。 本文對不同照度下的道路圖像進(jìn)行對比度增強(qiáng)，并重點研究了照度對二值化閾值選擇的影響。通過試驗，分析不同照度下，閾值的具體選取過程，研究了照度與閾值之間的規(guī)律關(guān)系。根據(jù)二值化道路圖像的特點，選用合適的車道線識別算法，成功提取車道線。并在原有偏離報警算法的基礎(chǔ)上，加入了車道線夾角判別方法，提高了車道偏離報警的及時性。 通過實車試驗，在不同照度條件下，對車道偏離預(yù)警系統(tǒng)做了大量試驗，驗證系統(tǒng)算法，并將照度劃分成不同的區(qū)間，區(qū)分強(qiáng)照度、一般照度和低照度，總結(jié)了照度與二值化閾值之間的規(guī)律，進(jìn)而分析了不同照度下閾值的選取對車道線的識別產(chǎn)生的影響。
[Abstract]:Lane deviation warning system plays an increasingly important role in road traffic safety. It is an important safety assistant system in modern traffic. The most important step of lane deviation warning system is to identify and extract lane line. The selection of threshold value has an important effect on lane line recognition. This paper analyzes the influence of illumination on binarization threshold selection through experiments. The hardware platform of this paper is TMS320DM6437 evaluation board, which is the core of driveway deviation warning system, and according to the characteristics of Flash on board. In order to study the influence of illuminance on threshold selection, the corresponding program of burning and writing Flash is written, and the program is solidified in the Norflash of the evaluation board to realize the off-line operation of the system. In this paper, the illuminance sensor module is added to the hardware platform. The illuminance sensor communicates with 51 single chip microcomputer through I2C bus. The illumination data collected by single chip computer can be transmitted to DM6437 through serial communication in real time. And the illuminance value can be displayed by 1602 LCD in real time. In this paper, the contrast of road images under different illuminance is enhanced, and the influence of illumination on binarization threshold selection is studied. Through experiments, the specific selection process of threshold is analyzed under different illuminance. The relationship between illumination and threshold is studied. According to the characteristics of binary road image, the appropriate lane line recognition algorithm is selected, and the lane line is extracted successfully, and based on the original deviation alarm algorithm. The method of lane line angle discrimination is added to improve the timeliness of lane deviation alarm. Through the actual vehicle test, under different illumination conditions, a large number of experiments on lane deviation warning system, verify the system algorithm, and will be divided into different sections of illuminance, distinguish strong illumination, general illumination and low illuminance. The law between illuminance and binarization threshold is summarized, and the influence of the selection of threshold on lane line recognition is analyzed.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U463.6;U495

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