摘要
在高乘载车辆侦测系统中,运用类红外线传感器,以及雷射定位仪截取影像,采取自适应性增强以及阶层式分类器(AdaBoost+Cascade Classifier)的分类算法,进行影像识别。经实地测试,在自由车流下成功率达73.3%,可以证明高乘载车辆侦测系统的实用性。
NIR sensing and laser positioning technology is adopted for catching in-vehicle images in the development of High Occupancy Vehicle(HOV)Detection system.Occupant's recognition subsystem is finished with AdaBoost and Cascade Classifier algorithms.In field test,it has 73.3percent successful rate for free flow condition.The results have won the approval of practical applicability on HOV system.
出处
《交通信息与安全》
2013年第6期76-80,99,共6页
Journal of Transport Information and Safety
关键词
高乘载车辆
类红外线
阶层式分类器
high occupancy vehicle
near infrared
cascade classifier
