基于全景视觉的汽车安全驾驶辅助系统的平台设计与实现
发布时间：2018-10-24 07:38
【摘要】：当今社会，汽车交通事故造成十分严重的伤害，各国汽车厂商都致力于研究汽车安全技术，汽车安全的理想状态是事故零死亡，“人—车—路”协同智能交通系统将能达到这种理想状态。基于全景视觉的汽车安全驾驶辅助系统是智能交通系统中“人—车—路”环节的关键技术之一，该系统利用电子信息技术来拓展驾驶员视野，使驾驶员更好地感知道路环境，有效地降低交通事故的发生。 本文分析国内外基于全景视觉的汽车安全驾驶辅助系统的研究现状，针对国内高校和研究院在全景视觉系统平台的设计与实现方面的空白，对如何设计嵌入式数字信息处理系统平台以实现全景视觉系统展开深入的研究。 本文设计“九点”插值算法；研究全景视觉系统算法的特点，针对其特点，提出将美国德州仪器公司的达芬奇技术应用于汽车全景视觉系统的研发上；研究设计基于TMS320DM642处理器的数字图像处理系统，制作全景视觉系统平台，编写全景视觉系统底层代码，，在完成软件和硬件的集成后，进行汽车安全驾驶辅助系统的实验室模拟试验和实车试验。 通过实验室模拟试验和实车试验得出流畅清晰的全景鸟瞰视觉图像，图像的效果表明：本文提出的基于达芬奇技术的设计方案在汽车安全驾驶辅助系统平台的应用上有优异的表现，本文设计的新型“九点”插值算法，占用较少的硬件资源，却得到良好的显示质量，优化后的“九点”插值算法能极大提高图像的流畅度。成功地在嵌入式系统中完成基于全景视觉的汽车安全驾驶辅助系统的设计与实现。
[Abstract]:In today's society, automobile traffic accidents cause very serious injuries. Automobile manufacturers all over the world are committed to the research of automobile safety technology. The ideal state of automobile safety is zero accident death. The man-car-road cooperative intelligent transportation system will be able to achieve this ideal state. The vehicle safety driving assistant system based on panoramic vision is one of the key technologies of the "man-vehicle-road" link in the intelligent transportation system. The system uses electronic information technology to expand the driver's vision and make the driver better perceive the road environment. Reduce the incidence of traffic accidents effectively. This paper analyzes the research status of vehicle safety driving assistant system based on panoramic vision at home and abroad, aiming at the blank in the design and implementation of panoramic vision system platform in domestic universities and academies. How to design embedded digital information processing system platform to realize panoramic vision system is studied deeply. In this paper, "Nine Point" interpolation algorithm is designed, and the characteristics of panoramic vision system algorithm are studied. According to its characteristics, the Leonardo da Vinci technology of Texas Instruments Company is applied to the research and development of vehicle panoramic vision system. Research and design digital image processing system based on TMS320DM642 processor, make panoramic vision system platform, write the bottom code of panoramic vision system, after completing the integration of software and hardware, The laboratory simulation test and the real vehicle test of the vehicle safety driving assistant system are carried out. Through the laboratory simulation test and the actual vehicle test, the smooth and clear panoramic aerial vision image is obtained. The effect of the image shows that the design scheme based on Leonardo da Vinci technology has excellent performance in the application of the vehicle safety driving assistant system platform. The new "nine-point" interpolation algorithm designed in this paper takes up less hardware resources. The optimized Nine Point interpolation algorithm can greatly improve the smoothness of the image. The design and implementation of vehicle safety driving assistant system based on panoramic vision is successfully completed in embedded system.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U463.6;U492.8
本文编号：2290751
[Abstract]:In today's society, automobile traffic accidents cause very serious injuries. Automobile manufacturers all over the world are committed to the research of automobile safety technology. The ideal state of automobile safety is zero accident death. The man-car-road cooperative intelligent transportation system will be able to achieve this ideal state. The vehicle safety driving assistant system based on panoramic vision is one of the key technologies of the "man-vehicle-road" link in the intelligent transportation system. The system uses electronic information technology to expand the driver's vision and make the driver better perceive the road environment. Reduce the incidence of traffic accidents effectively. This paper analyzes the research status of vehicle safety driving assistant system based on panoramic vision at home and abroad, aiming at the blank in the design and implementation of panoramic vision system platform in domestic universities and academies. How to design embedded digital information processing system platform to realize panoramic vision system is studied deeply. In this paper, "Nine Point" interpolation algorithm is designed, and the characteristics of panoramic vision system algorithm are studied. According to its characteristics, the Leonardo da Vinci technology of Texas Instruments Company is applied to the research and development of vehicle panoramic vision system. Research and design digital image processing system based on TMS320DM642 processor, make panoramic vision system platform, write the bottom code of panoramic vision system, after completing the integration of software and hardware, The laboratory simulation test and the real vehicle test of the vehicle safety driving assistant system are carried out. Through the laboratory simulation test and the actual vehicle test, the smooth and clear panoramic aerial vision image is obtained. The effect of the image shows that the design scheme based on Leonardo da Vinci technology has excellent performance in the application of the vehicle safety driving assistant system platform. The new "nine-point" interpolation algorithm designed in this paper takes up less hardware resources. The optimized Nine Point interpolation algorithm can greatly improve the smoothness of the image. The design and implementation of vehicle safety driving assistant system based on panoramic vision is successfully completed in embedded system.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U463.6;U492.8
【参考文献】
相关期刊论文 前10条
1 李原福;王学明;段金辉;;基于特征点检测的重叠图像拼接算法[J];吉林大学学报(信息科学版);2010年06期
2 代健美;耿华芳;;基于TPS54310的SOC电源电路设计[J];电源技术应用;2008年05期
3 罗诗途,张(王已),罗飞路,王艳玲;基于TMS320C6202的装甲战车智能图像跟踪系统硬件平台设计[J];电子技术应用;2005年03期
4 熊炜;;基于TMS320DM642的多路视频采集处理板卡的硬件设计与实现[J];国外电子元器件;2006年06期
5 张璞扬;麦克斯韦鱼眼微球透镜的研究[J];光学学报;1997年08期
6 龚昌来;罗聪;杨冬涛;;一种基于边缘方向的双线性插值方法[J];激光与红外;2010年07期
7 付厚超,陈宗海;基于垂直边缘处理的全景图像的拼接[J];计算机工程;2004年04期
8 张其亮;陈永生;韩斌;;基于嵌入式系统的全景图像拼接系统设计[J];计算机工程与科学;2012年06期
9 赵杰;孙连明;杨永敏;李戈;;基于DM642的嵌入式实时图像处理系统设计[J];制造业自动化;2008年09期
10 宋健;王伟玮;李亮;于良耀;;汽车安全技术的研究现状和展望[J];汽车安全与节能学报;2010年02期
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