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作 者:曾夏明 何家雄 曹林根 凤宇飞 沈阳[5] 张志伟 ZENG Xiaming;HE Jiaxiong;CAO Lingen;FENG Yufei;SHEN Yang;ZHANG Zhiwei(Intelligent Transportation Engineering Institute,Guangxi Transportation Science and Technology Group Co.,Ltd.,Nanning 530000,Guangxi,China;Nanning JASAY Digital Technology Co.,Ltd.,Naning 530000,Guangxi,China;Logistics Engineering College,Shanghai Maritime University,Shanghai 201306,China;Shanghai SMU Vision Smart Tech Co.,Ltd.,Shanghai 201306,China;Higher Technical College,Shanghai Maritime University,Shanghai 201306,China)
机构地区:[1]广西交科集团有限公司智能交通工程院,广西南宁530000 [2]南宁捷赛数码科技有限责任公司,广西南宁530000 [3]上海海事大学物流工程学院,上海201306 [4]上海海瞩智能科技有限公司,上海201306 [5]上海海事大学高等技术学院,上海201306
出 处:《中国工程机械学报》2021年第4期324-330,共7页Chinese Journal of Construction Machinery
摘 要:实时准确地了解和掌握公路交通基础信息对于公路交通智能化管理非常重要,为了弥补目前交通检测技术的不足,实现快速且准确地获取公路交通基础信息,提出了一套实时、多车道、连续采集的激光雷达车型识别系统。重点阐述了该系统的检测原理与设备结构,并通过激光雷达及其辅助设备对车辆轮廓进行扫描与重建,再从重建后的车辆轮廓数据中提取出用于车型识别的各种特征。最后采用基于决策树的车型识别方法分类车型,并选取了实际道路交通场景进行测验。测验结果表明:该系统的检测数据差异率低、精度高,具有较高的实际应用价值。Real-time and accurate understanding and mastering basic information of highway traffic is very important for intelligent management of highway traffic. In order to make up for the shortage of current traffic detection technology and achieve fast and accurate acquisition of basic highway traffic information,a real-time,multi-lane,continuous acquisition vehicle recognition system based on laser radar is proposed. The detection principle and equipment structure of the system are described emphatically,and the vehicle contour is scanned and reconstructed by laser radar and its auxiliary equipment,then various features for vehicle recognition are extracted from the reconstructed vehicle contour data,and finally the vehicle recognition method based on decision tree is used to classify the vehicle. The actual road traffic scene is selected for the test,the test results show that the detection data difference rate of the system is low,the accuracy is high,and the system has high practical application value.
分 类 号:U495[交通运输工程—交通运输规划与管理]
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