本文關(guān)鍵詞：微型智能車定位與控制及其集成測試　出處：《大連理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 車聯(lián)網(wǎng) 雙目定位 碰撞預(yù)警 智能車

【摘要】：近年來,隨著汽車數(shù)量的增加,交通事故頻發(fā),對社會經(jīng)濟(jì)及生命財(cái)產(chǎn)安全造成了嚴(yán)重威脅。全世界的人們對交通安全更加關(guān)注。如何避免車輛碰撞,減少交通事故的發(fā)生成為了車聯(lián)網(wǎng)急需解決的一個(gè)問題。對車聯(lián)網(wǎng)碰撞預(yù)警算法進(jìn)行測試,不僅需要良好的智能車軟硬件平臺的支持,還需要完整的車輛通信設(shè)備以及準(zhǔn)確定位車輛的位置。測試時(shí),需多輛傳感器設(shè)備完善的智能車參與進(jìn)來,極其容易發(fā)生多輛智能車碰撞的事故,因此真實(shí)測試的不僅危險(xiǎn)性很大而且成本很高,所以目前國內(nèi)外研究學(xué)者多選擇在仿真實(shí)驗(yàn)平臺上進(jìn)行車聯(lián)網(wǎng)碰撞預(yù)警測試。但是仿真實(shí)驗(yàn)并沒有使用真實(shí)的環(huán)境參數(shù),忽略了人類駕駛中存在的人為因素,所以實(shí)驗(yàn)測試結(jié)果存在一定的不精確性。針對仿真平臺的不精確性及真實(shí)測試的不現(xiàn)實(shí)性,本文設(shè)計(jì)了一種微型智能車。在智能車硬件平臺上,利用手機(jī)控制智能車來模擬人類真實(shí)駕駛,實(shí)現(xiàn)了智能車的加速、減速、啟動、剎車、轉(zhuǎn)彎等功能。同時(shí)采用攝像頭雙目定位實(shí)現(xiàn)對智能車位置的精確定位,獲取智能車位置并計(jì)算行駛智能車的速度。通過定位到的位置速度信息,為車聯(lián)網(wǎng)安全應(yīng)用進(jìn)行測試提供方便。還搭建了交通道路模型,模擬真實(shí)駕駛車道,最大限度還原真實(shí)駕駛場景。最后對其進(jìn)行集成測試,確保預(yù)期的功能已經(jīng)正確地實(shí)現(xiàn)。
[Abstract]:In recent years, with the increase of the number of cars, frequent traffic accidents have posed a serious threat to the social economy and the safety of life and property. People all over the world pay more attention to traffic safety and how to avoid vehicle collision. Reducing the occurrence of traffic accidents has become an urgent problem in vehicle networking. To test the collision early warning algorithm of vehicle networking, not only need the support of intelligent vehicle hardware and software platform. It also needs the complete vehicle communication equipment and the accurate location of the vehicle. When testing, many smart vehicles with perfect sensor equipment are required to participate in the test, which is extremely vulnerable to multiple intelligent vehicle collision accidents. So the real test is not only dangerous but also costly. So many scholars at home and abroad choose to carry on the vehicle network collision early warning test on the simulation experiment platform, but the simulation experiment does not use the real environment parameter, neglects the human factor which exists in the human driving. In view of the imprecision of the simulation platform and the reality of the real test, this paper designs a kind of mini intelligent vehicle on the hardware platform of smart car. The mobile phone is used to control the smart car to simulate the real human driving, realizing the acceleration, deceleration, starting, braking, turning and other functions of the smart car. At the same time, the camera binocular positioning is used to realize the precise location of the smart car. Get the location of the intelligent vehicle and calculate the speed of driving smart car. Through the location of the location speed information to provide convenience for the vehicle network security application testing. Also built a traffic road model to simulate the real driving lane. Maximize the restore of real driving scenarios. Finally, test it to ensure that the expected functionality has been correctly implemented.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U495;TP391.9

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 柳祖鵬;許彩霞;張獻(xiàn)峰;;基于VISSIM仿真系統(tǒng)構(gòu)建3D交通環(huán)境[J];城市交通;2008年04期

2 謝華忠;趙啟挺;張秀梅;;現(xiàn)代汽車安全技術(shù)分析[J];紹興文理學(xué)院學(xué)報(bào);2005年04期

，

本文編號：1390174