摘要
提出了一个面向高速道路交通车辆违规行为移动执法智能检测模型。系统模型分为车道线检测、车辆检测与跟踪、逆透视变换及几何量算、面向车道定位的地图精细匹配等4个子模块。该系统模型算法在实际高速公路环境中进行了车辆违规行为检测,以及车道线检测、车辆目标及跟踪等专项测试以表征其对车辆违规行为的检测能力。测试结果表明,该系统模型具备在一定的复杂交通环境中车辆违规行为辨识能力。相关专项测试表明,该模型可以快速及准确地检测记录违规车辆。
An intelligent detection model for mobile traffic enforcement is presented to detect the vehicle violations on highways. The system model is divided into four sub-modules including the lane detection, vehicle detection and tracking, inverse perspective transformation and geometric measurement, and map matching for lane locating. The system model algorithm is tested in highway road environment, as well as special tests such as lane line detection, vehicle target and tracking to characterize its performance to detect vehicle violations. The test results show that the system model has certain ability to recognize vehicle violations in complex traffic environment. At the same time, the relevant special tests show that the model can detect and record illegal vehicles quickly and accurately.
作者
陈刚
陈斌
钱基德
CHEN Gang;CHEN Bin;and QIAN Ji-de(Chengdu Institute of Computer Application, Chinese Academy of Sciences Chengdu 610041;University of Chinese Academy of Sciences Shijingshan Beijing 100049;Guangzhou Institute of Electric Technology, Chinese Academy of Sciences Guangzhou 510070)
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2018年第3期350-355,共6页
Journal of University of Electronic Science and Technology of China
基金
广东省产学研合作项目(2017B090901040)
广东省重大科技专项(2017B030306017)
四川省课题厅科技成果转化项目(2014CC0043)
