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ID:37034412
大小:4.30 MB
页数:69页
时间:2019-05-15
《基于双传感器车辆防撞预警系统的研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、学校代码:10663学号:15010070393贵州师范大学硕士学位论文基于双传感器车辆防撞预警系统的研究ResearchonVehicleAnti-collisionWarningSystemBasedonDoubleSensors专业名称:智能控制与信息系统专业代码:0812Z1研究方向:智能控制系统设计与测试技术申请人姓名:李浩导师姓名(职称):王义(教授)二零一八年四月二十五日目录摘要.............................................................................
2、................................IABSTRACT..............................................................................................III1绪论.........................................................................................................11.1选题背景.....................
3、....................................................................11.2选题的目的和意义.........................................................................21.3国内外研究现状.............................................................................31.4论文主要内容和章节安排...................
4、..........................................42系统总体设计.........................................................................................62.1系统整体功能设计.........................................................................62.2系统整体结构设计.......................................
5、..................................63障碍物识别与车距测量技术.................................................................83.1CMOS摄像头工作原理..................................................................83.2车载探测传感器的技术比较.........................................................93.2.1红外
6、线探测传感器............................................................103.2.2激光探测传感器................................................................103.2.3超声波探测传感器............................................................103.2.4毫米波雷达探测传感器.......................................
7、.............113.2.5机器视觉探测传感器........................................................123.3障碍物识别技术...........................................................................123.3.1感兴趣区域确定................................................................133.3.2图像预处理.............
8、...........................................................133.3.3特征提取.....
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