本文選題：機(jī)器視覺 + SIFT特征點(diǎn)�。� 參考：《西安科技大學(xué)》2015年碩士論文

【摘要】：隨著工業(yè)化的快速發(fā)展,人民生活水平的不斷提高,私家車也步入普通家庭,公路交通的壓力也隨之而來。交通壓力的劇增導(dǎo)致了車禍的不斷增加,不但造成了人身傷害與財產(chǎn)的損失也使得家庭陷入巨大的困境。如何讓駕駛車輛成為安全的出行方式,就成為人們追求的目標(biāo),所以對于車輛安全檢測技術(shù)的研究就具有更為重要的意義。本文重點(diǎn)研究車輛安全距離的測量與車輛目標(biāo)的追蹤,安全距離是車輛行駛中保證人身安全的必要條件。目標(biāo)車輛追蹤以及距離測量客觀的反映了當(dāng)前的路況信息,該輔助技術(shù)能夠有效減少交通意外的發(fā)生。論文深入分析了國內(nèi)外基于視覺車輛安全檢測技術(shù)的研究現(xiàn)狀和發(fā)展。介紹了車輛主動安全系統(tǒng)的結(jié)構(gòu)并對車輛測距以及車輛追蹤進(jìn)行深入的研究,重點(diǎn)在于安全距離的測量以及車輛目標(biāo)追蹤算法的研究。針對車輛測距系統(tǒng),分析對比了常見的測距方法,并研究了它們各自在實(shí)際工程環(huán)境應(yīng)用中的缺陷,最后采用基于SIFT特征點(diǎn)匹配的測距方法,在SIFT特征點(diǎn)匹配過程中構(gòu)造新的匹配約束函數(shù),實(shí)驗(yàn)結(jié)果驗(yàn)證該測距方法可以減少匹配時間,同時也可以減少極少數(shù)的特征點(diǎn)的跳變而造成的誤差。針對目標(biāo)車輛追蹤,分析對比了各種車輛目標(biāo)追蹤方法,提出了將矩不變與基于更新固定模板相結(jié)合的目標(biāo)追蹤算法,并采用Matlab軟件以及OPENCV進(jìn)行編程仿真實(shí)驗(yàn),通過實(shí)驗(yàn)可知,本文算法可以有效的改善車輛運(yùn)行過程中尺度、旋轉(zhuǎn)、遮擋等原因造成的追蹤丟失現(xiàn)象,進(jìn)一步驗(yàn)證了車輛安全距離測量以及車輛追蹤的可實(shí)施性和準(zhǔn)確性。
[Abstract]:With the rapid development of industrialization, the improvement of people's living standards, private cars have entered into ordinary families, the highway traffic pressure to follow. The traffic pressure surge has led to increasing traffic accident, not only caused personal injury and property loss also makes the family into a huge dilemma. How to make the vehicle become safe travel on the way to become a goal, so for the study of vehicle safety detection technology has a more important significance. This paper focuses on the measurement and vehicle vehicle safety distance tracking, safety distance is a necessary condition to ensure the safety of the people in the vehicle. The vehicle tracking and target distance measurement objectively reflects the current the traffic information, the auxiliary technology can effectively reduce the occurrence of traffic accidents. This paper analyzed the domestic and international vision based vehicle safety inspection The research status and development of technology. This paper introduces the structure of vehicle active safety system and the vehicle location and vehicle tracking in-depth research, focus on safety distance measurement and tracking algorithm of vehicles. The vehicle distance measuring system, analysis and comparison of the ranging method is common, and to study their own defects in the actual application environment in the project, the SIFT ranging method based on feature points matching, the SIFT feature point matching process, construct new constraint function, the experimental results verify that the measurement method can reduce the matching time, but also can reduce the error of feature points a few jump caused by the target vehicle tracking, comparative analysis the tracking method of various vehicle targets is proposed based on invariant moments and update the fixed template combination of target tracking algorithm, and uses the Matlab software to OPENCV programming and simulation experiment, experimental results show that the algorithm can effectively improve the vehicle scale, operation process and other reasons caused by rotation, occlusion tracking loss phenomenon, further validation can be implemented and the accuracy of tracking the vehicle safety and vehicle distance measurement.

【學(xué)位授予單位】：西安科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U495;U463.6;TP391.41

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 邵豪;雞腿菇采摘機(jī)器人的視覺系統(tǒng)研究[D];蘭州理工大學(xué);2017年

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本文編號：1748490