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

  更多相關文章： 車聯(lián)網(wǎng) 雙目定位 碰撞預警 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)濟及生命財產安全造成了嚴重威脅。全世界的人們對交通安全更加關注。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)急需解決的一個問題。對車聯(lián)網(wǎng)碰撞預警算法進行測試,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備以及準確定位車輛的位置。測試時,需多輛傳感器設備完善的智能車參與進來,極其容易發(fā)生多輛智能車碰撞的事故,因此真實測試的不僅危險性很大而且成本很高,所以目前國內外研究學者多選擇在仿真實驗平臺上進行車聯(lián)網(wǎng)碰撞預警測試。但是仿真實驗并沒有使用真實的環(huán)境參數(shù),忽略了人類駕駛中存在的人為因素,所以實驗測試結果存在一定的不精確性。針對仿真平臺的不精確性及真實測試的不現(xiàn)實性,本文設計了一種微型智能車。在智能車硬件平臺上,利用手機控制智能車來模擬人類真實駕駛,實現(xiàn)了智能車的加速、減速、啟動、剎車、轉彎等功能。同時采用攝像頭雙目定位實現(xiàn)對智能車位置的精確定位,獲取智能車位置并計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)安全應用進行測試提供方便。還搭建了交通道路模型,模擬真實駕駛車道,最大限度還原真實駕駛場景。最后對其進行集成測試,確保預期的功能已經(jīng)正確地實現(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.
【學位授予單位】：大連理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U495;TP391.9

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本文編號：1390174