混合道路状况下基于单片机的汽车智能路径选择系统设计

Cars Lined up Waiting Time Detection System Design Based on OTSU

摘要:

针对当前汽车在混合道路状况下排队等待时间长的问题,设计并实现了一种混合道路状况下基于单片机的汽车智能路径选择系统,系统采用光电传感器进行汽车速度与间距的测量,采用CCD摄像机获取某路段汽车运行情况图像的视频图像,采用SAA7113视频解码器通过抗混叠滤波、A/D转换成数字图像存储到高性能计算机中,汽车智能路径选择引入最大类间方差算法(OTSU),依据车辆和背景的方差动态确定图像分割阀值,获取排队车辆图像区域,按照视频的时间获取车辆的排队等待时间信息;并对获取的数据信息进行分析和处理,最终实现汽车路径的时间最优或路状最优选择;实验结果说明系统选择路径的车辆排队时间与最优等待时间匹配度达到98%,误差控制在2.5%以内,并且系统具有超高的稳定性,应用前景广阔。

Abstract:

In view of the current car in A mixed road condition queuing time problem, designed and implemented A hybrid road condition of auto intelligent routing system based on single chip microcomputer, the system adopts photoelectric sensor for auto speed and distance measurements, using CCD camera to obtain A road car operation image video image, using SAA7113 video decoder by anti aliasing filter, A/D converted into digital images stored in the high performance computer, intelligent route choice is introduced into the between-cluster variance algorithm (OTSU) according to the vehicle and background variance of dynamic image segmentation threshold is determined, get queued vehicle image region, according to the video time for queue waiting time of the vehicle information. And to obtain the data information analysis and processing, finally realizes the auto time optimal path or road shape optimal choice. Experimental results show that the system choose the path of the vehicle queuing time and optimal waiting time matching degree reached 98%, error control within 2.5%, and the system has high stability, broad application prospect.