摘要
实现车辆检测是智能交通系统的一大重要功能,该文提出一种基于时域特征的多状态阀值自适应算法。该算法可用于检测车辆从检测器固定正上方通过时的车辆数量。经过实验验证,不管是快速还是慢速该算法均具有非常好的实时性与准确率。
Vehicle detection is one of the important functions of the intelligent transportation system,this paper proposes a detection technology based on geomagnetic vehicles.We propose a state threshold adaptive algorithm based on time domain characteristics in the course of this study.The algorithm can be used to detect vehicle fixed from just above the detector,the number of the vehicle detector.After experimental verification,whether it is fast or slow the algorithm has very good real-time and accuracy rate.
出处
《杭州电子科技大学学报（自然科学版）》
2013年第4期62-65,共4页
Journal of Hangzhou Dianzi University：Natural Sciences
基金
浙江省重点创新团队资助项目(R50019)
关键词
智能交通
地磁场检测
车辆检测
多态阈值自适应
intelligent transportation
geomagnetic field testing
vehicle detection
polymorphic adaptive thresh old
