摘要
路径识别是智能车应用中的一项关键技术，直接决定了智能车行驶的质量。本智能车采用飞思卡尔16位微控制器MC9S12DG128为核心控制单元，利用CCD摄像头进行黑白道路图像采样以获取道路图像信息，通过二值化算法提取道路黑线，进而对小车的运行方向和速度进行控制。实际测试表明，能较好地实现智能小车的路径识别功能。
Path identification is a key technology in the application of intelligent vehicles. It directly determines the running quality of in- telligent vehicles. In this paper, we have developed an intelligent vehicle with advanced path identification algorithm. The embedded sys- tem is based on Freescale＇s 16-bit MCU, MC9S12DG128. CCD cameras are used to collect image samples of monochrome road. Then the binary algorithm is introduced to extract road black-lines, through which the direction and speed of the intelligent vehicle is controlled. It is proved by experiments that our embedded system fhlfills the path recognition task as an intelligent vehicle.
作者
黄娴
张曦煌
陆冬磊
HUANG Xian, ZHANG Xi-huang, LU Dong-lei （1.School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China; 2. School of Software and Service Outsourcing, Wuxi Professional College of Science and Technology, Wuxi 214028, China）
出处
《电脑知识与技术》
2010年第10期8083-8085,共3页
Computer Knowledge and Technology
关键词
智能车
CCD摄像头
图像采样
路径识别
intelligent vehicles
CCD cameras
image samples
path recognition
