隧道车辆检测方法的研究

Study on Detection Method of Tunnel Vehicle

目前信息技术的迅速发展为车辆的检测研究提供了许多便利,使其已经成为我国交通信息检测研究的热点问题,而对于隧道车辆及时准确的进行检测,对其有关信息进行有效使用,将相关指令发给隧道照明控制系统,进而达到"车近灯亮、车过灯灭"的理想效果。这将有效解决我国隧道照明系统中普遍存在能源消耗严重的问题,达到节约能源的良好效果。本文系统介绍了常用检测算法像帧差法,光流法,背景差分法的原理,分析并比较了各种算法的适用范围与优缺点,为不同场合下车辆检测算法的选择提供了重要的参考依据,有效提高车辆检测效果。

Currently the rapid development of information technology for the detection of vehicle provides many advantages,whic has become a hot issue in our country traffic information detection, and in order to the timely and accurate vehicle tunnels detection, effective use of the relevant information, the relevant instructions issued to the tunnel lighting control system, achieving the result of ＂closer to the car lights, car lights＂ . This will effectively solve the problem of energy consumption in tunnel lighting system, and achieve the good effect of energy saving.. This paper introduces the commonly used detection algorithms like frame difference method, optical flow method, background difference method principle, analysis and compare the scope of application of the various algorithms and the advantages and disadvantages, provides an important reference for the choice of vehicle detection algorithm under different occasions, effectively improve the vehicle detection effect.