检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:刘金清[1] 陈存弟 LIU Jin-Qing;CHEN Cun-Di(Fuzhou University of International Studies and Trade,Fuzhou,350202,China;Key Laboratory of Optoelectronic Science and Technology for Medicine(Ministry of Education),College of Photonic and Electronic Engineering,Fujian Normal University,Fuzhou 350007,China)
机构地区:[1]福州外语外贸学院,福州350202 [2]福建师范大学光电与信息工程学院,医学光电科学与技术教育部重点实验室,福州350007
出 处:《计算机系统应用》2020年第3期269-277,共9页Computer Systems & Applications
基 金:国家自然科学基金(61179011);国家自然科学基金青年科学基金(41701491);福建省自然科学基金(2017J01464)。
摘 要:基于智能交通的快速发展,研究了在高速路段下基于机器视觉的车道偏离检测与车辆前向安全车距检测技术.首先固定车载相机,通过相机标定获取相机的内参数和外参数,进而设计车距检测模型.该模型不但能够检测出前方车辆与无人车的距离,还能计算出前方车辆相对于摄像机光轴的偏转角度.接着在CCP偏离检测算法的基础上,设定安全和报警区来建立车道偏离模型,并对当前车辆的偏离结果作出正常行驶的评判.最后借助TI的DVSDK组件包将算法移植到嵌入式平台DSP-DM3730上测试.实验表明,本文设计的车距检测模型和车道偏离模型在解决无人车的前向防撞检测和车道偏离检测等问题上具有较好的参考价值.Base on the rapid development of intelligent transportation,this work studies lane departure detection and vehicle forward safety distance detection technology under high-speed section based on the machine vision.First fix the car camera,obtain the camera’s internal and external parameters through camera calibration,and then design the distance detection model which can not only detect the distance between the front vehicle and the unmanned vehicle,but also calculate the deflection angle of the front vehicle relative to the optical axis of the camera.Secondly,based on the CCP(The Car’s Current Position)deviation detection algorithm,the safety and alarm zones are set to establish lane departure models,and the algorithm judges whether the current vehicle is deviated or not.Finally,the algorithm is transplanted to the embedded platform DSP-DM3730 by TI’s DVSDK(Digital Video SDK).Experiments show that the vehicle distance detection model and lane departure model designed in this work have good reference value in solving the problems of forward collision detection and lane departure detection of unmanned vehicles.
分 类 号:U463.6[机械工程—车辆工程] TP391.41[交通运输工程—载运工具运用工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.157