牛牛游戏厅安卓,{原始关键词}

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          • 当前位置: 代写一篇论文多少钱 > 计算机论文 > 计算机视觉技术下辅助驾驶系统的开发

            计算机视觉技术下辅助驾驶系统的开发

            时间:2020-02-10 13:42作者:戴卫兵 徐超 陈悦 吴
            本文导读:这是一篇关于计算机视觉技术下辅助驾驶系统的开发的文章,据统计,我国在交通事故中,每年都有数万人死亡,数亿元的经济损失。为了提高驾驶的安全性、减小交通事故的发生频率,辅助驾驶系统将可有效地帮助驾驶者了解车辆周围的环境信息。

              摘    要: 文章设计一种基于计算机视觉的辅助驾驶系统。系统通过摄像头采集图像信息,并对环境中的车道线、交通信号灯、车辆进行检测识别,同时把检测结果反馈给驾驶员,提醒驾驶员安全驾驶。该系统识别速度快、准确率高、鲁棒性强,具有广泛的应用前景。

              关键词: 车辆辅助驾驶系统; 计算机视觉; 神经网络; HSV空间;

              Abstract: In this paper, an assistant driving system based on computer vision is designed. The system collects image information through the camera, detects and identifies the lane, traffic lights and vehicles in the environment, and feeds back the test results to the driver to remind the driver to drive safely. The system has high recognition speed, high accuracy and strong robustness, and has a wide application prospect.

              Keyword: vehicle driving assistance system; computer vision; neural network; HSV space;

              引言

              据统计,我国在交通事故中,每年都有数万人死亡,数亿元的经济损失。为了提高驾驶的安全性、减小交通事故的发生频率,辅助驾驶系统将可有效地帮助驾驶者了解车辆周围的环境信息。目前市场上的辅助驾驶系统还是以传感器检测为主,为了减少硬件成本,本文基于计算机视觉设计出一种辅助驾驶系统。
             

            计算机视觉技术下辅助驾驶系统的开发
             

              1、 系统总体结构

              XITONGTONGGUOSHEXIANGTOUCAIJIDAOLUTUXIANGXINXI,JIYUJISUANJISHIJUEDUIDAOLUTUXIANGXINXIJINXINGJIANCESHIBIE,ZHENGGEXITONGYOUGAOQINGSHEXIANGTOUMOKUAI、TUXIANGYUCHULIMOKUAI、JISUANJICPUMOKUAI、CHEDAOXIANJIANCESUANFAMOKUAI、HONGLVDENGJIANCESUANFAMOKUAIYIJICHELIANGJIANCESUANFAMOKUAIZUCHENG,XITONGSHEJIKUANGJIARUTU1SUOSHI。

              图1 系统设计框架
            图1 系统设计框架

              2 、车道线检测原理

              CHEDAOXIANJIANCELIUCHENGTURUTU2SUOSHI。

              2.1 、图像预处理

              SHOUXIAN,JIANGTUXIANGJINXINGHUIDUHUACHULI,HUIDUHUAHOUDETUXIANGRENGHUICUNZAIZAOSHENGGANRAO,SHIYONGGAOSILVBOJINXINGQUZAOCHULI。JIEZHEJINXINGERZHIHUA、BIYUNSUANCAOZUO,CONGERTUXIANCHUMUBIAODELUNKUO。

              图2 车道线检测流程
            图2 车道线检测流程

              2.2、 边缘检测

              WEILEHUOQUTUXIANGZHONGDEBIANYUANXINXI,CAIYONGCannyBIANYUANJIANCESUANFA。CannyBIANYUANJIANCESUANFAJISUANTUXIANGDETIDUFUDUHEFANGXIANGLAIGUJIMEIYIDIANCHUDEBIANYUANQIANGDUYUFANGXIANG,GENJUTIDUDEBIANHUA,DUITIDUFUDUJINXINGFEIJIDAZHIYIZHI,BINGTONGGUOSHUANGYUZHILAIKONGZHIBIANYUANLIANJIE。BIANYUANJIANCEQIANHOUDUIBIRUTU3SUOSHI。

              2.3、 霍夫直线检测

              DANGHUOQUDAOTUXIANGBIANYUANXINXIHOU,HUOFUZHIXIANJIANCESUANFATONGGUOTUXIANGKONGJIANDEBIANYUANSHUJUDIANJISUANCANSHUKONGJIANZHONGDECANKAODIANDEKENENGGUIJI,BINGZAIYIGELEIJIAQIZHONGJIANGJISUANCHUDECANKAODIANJINXINGLEIJIA,XUANCHUFENGZHI,CONGERJISUANCHUTUXIANGZHONGDEZHIXIAN。SHEZHISHIDANGDEYUZHI,BINGTONGGUOZHIXIANXIELVDEJISUAN,QUCHUBUXIANGGUAN、YOUGANRAODEZHIXIAN,DADAOJIANCECHEDAOXIANDEXIAOGUO。

              3、 车辆检测原理

              YIKAIYUANDESHENJINGWANGLUOKUANGJIADarknetWEIJICHU,YIYOLOWANGLUOMOXINGWEIJICHU,XUNLIANCHELIANGJIANCEQI。XUNLIANCAIYONGDUOFENBUCELVE。

              3.1、 预训练

            牛牛游戏厅安卓,{原始关键词}   YUXUNLIANMOXINGYOU19GEJUANJICENGHE5GECHIHUACENGGOUCHENG。WEILEJIANSHAOMOXINGXUNLIANSHIJIAN,ZAIXUNLIANKAISHISHIJIAZAIZAIImageNetXUNLIANLE10LUNDEYUXUNLIANMOXING,BINGBUDUANDIDIAOZHENGWANGLUOCANSHU。WEILESHIMOXINGYOUZHEGENGHAODELUBANGXING,ZAIXUNLIANZHONGDUISHURUDETUXIANGCHICUNJINXINGDIAOZHENG,DIAOZHENGDECHICUNWEI32DEBEISHU,ZUIXIAOCHICUNWEI320×320,ZUIDACHICUNWEI608×608。

              图3 边缘检测前后
            图3 边缘检测前后

              

              图4 HSV空间颜色提取
            图4 HSV空间颜色提取

              3.2 、数据集

              XUNLIANSUOYONGDESHUJUJISHITONGGUOXINGCHEJILUYIPAISHEDESHIPINJINXINGTIQUDE,TUPIANCHICUNDAXIAOWEI640×360。XUNLIANJITUPIAN9500ZHANG,BAOHAN43641GECHELIANGMUBIAO;CESHIJITUPIAN1500ZHANG,BAOHAN6843GECHELIANGMUBIAO。CAIJITUXIANGZHONGDECHELIANGMUBIAOZHONGLEIDUOYANG、DAXIAOBUYIQIECUNZAIBUTONGCHENGDUDEZHEDANGQINGKUANG。

              3.3 、初始候选框

            牛牛游戏厅安卓,{原始关键词}   XUNLIANGUOCHENGZHONG,SUIZHEDIEDAICISHUBUDUANZENGJIA,WANGLUOXUEXIDAOCHELIANGTEZHENG,YUCEKUANGDECANSHUBUDUANDIAOZHENG,ZUIZHONGJIEJINZHENSHIKUANG。WEILEJIAKUAISHOULIANSUDU、TIGAOYUCEJINGDU,FENXITUXIANGZHONGCHELIANGDEKUANGAOTEDIAN,YONGK-meansSUANFAJINXINGJULEI,DEDAOYUTUXIANGZHONGCHELIANGBIANJIEZUIXIANGJINDECHUSHIHOUXUANKUANGCANSHU。

              4、 红绿灯检测原理

              WEILEJIANSHAOCPUDEJISUANLIANG,JIANGSHEXIANGTOUDESHANGBANSHIJIAOBUFENSHEZHIWEIROI,DUIROIJINXINGYANSEDEJIANCESHIBIE。YANSESHIBIECAIYONGHSVKONGJIANJINXINGPANDUAN。

              TONGGUOCHAXUNXIANGGUANZILIAO,HONGSEDESEDIAOQUZHIFANWEIWEI0~101HE56~180,BAOHEDUFANWEIWEI43~255,LIANGDUFANWEIWEI46~255;LVSEDESEDIAOQUZHIFANWEIWEI35~77,BAOHEDUFANWEIWEI43~255,LIANGDUFANWEIWEI46~255。

            牛牛游戏厅安卓,{原始关键词}   SHEZHIMUBIAOYANSEDEPIPEICHENGDU,TONGSHITONGJIHONGSEHELVSEDEZHANBI,RUGUOHONGSEZHANBICHAOGUO20%,ZERENWEISHIHONGDENG,LVDENGYEANZHAOCIZHANBIJINXINGPANDUAN。JIANCEXIAOGUORUTU4SUOSHI。

              5、 测试结果

              JIACHEZAIBUTONGLUDUANXINGSHI,TONGGUOSHEXIANGTOUJINXINGSHISHIJIANCE,GONGCAIJIDAOCHEDAOXIANMUBIAO4465CI,HONGLVDENG102CI,CHELIANG5405CI,JIANCESHIBIEJIEGUORUBIAO1SUOSHI。

              表1 测试结果
            表1 测试结果

              DUIYUCHELIANGDEJIANCE,SHIBIEZHUNQUELVNENGGOUDADAO98.68%;DUIYUCHEDAOXIANHEHONGLVDENGDESHIBIE,LVESHOUDAOGUANGZHAOQIANGDUDEYINGXIANG,SHIBIEZHUNQUELVLVEYOUJIANGDI,DANRENGZAI97%YISHANG。

              6、 结束语

              JIYUJISUANJISHIJUEDEFUZHUJIASHIXITONG,JINGENXIANJIEDUANDESHIDAIXUQIU,BAOZHANGJIASHIYUANDERICHANGXINGCHEANQUAN。CESHIJIEGUOBIAOMING,GAIXITONGDUIMUBIAOWUTIJIANCESHIBIEDEZHUNQUELVDADAO97%YISHANG,JUYOUSHIJIKEXINGXING。

              参考文献

              [1]Si-qi ZHAO,Peng LIU,Jie YANG,Song-bin LI. A Fast Vehicle Detection Method for Road Monitoring[P]. 2nd International Conference on Computer,Mechatronics and Electronic Engineering(CMEE 2017),2017.
              [2]Ya-li ZHANG,Quan-ge TAN. The Application of Characteristic Point about Moving Object Detection and Tracking Method Based on OpenCV[P]. DEStech Transactions on Computer Science and Engineering,2018.
              [3]侯穆.基于OPENCV的运动目标检测与跟踪技术研究[D].西安电子科技大学,2012.
            牛牛游戏厅安卓,{原始关键词}   [4]周晓彦,王珂,李凌燕.基于深度学习的目标检测算法综述[J].电子测量技术,2017,40(11):89-93.

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