公路智能车辆视觉辅助导航系统的研究  

A Visual Aided Navigation System for Road Intelligent Vehicle

作　　者：苏开娜[1] 刘忠云[1] 耿超[1] 吴默[1] 

机构地区：[1]北京工业大学计算机学院,北京100044

出　　处：《计算机工程》2002年第9期67-69,共3页Computer Engineering

基　　金：北京市自然科学基金资助项目(992001);北京市教4委资助项目()99KJ06

摘　　要：自主驾驶与辅助导航是目前智能计算机领域研究的一个热点。文章研究了一个简单、易行的公路智能车辆视觉系统,这个视觉系统的输入视频图像是由安装在行驶于高速公路上车辆前方的摄像机所采集的路面状况的长序列图像。算法的核心是解决基于卡尔曼滤波的车道线和运动目标的检测与跟踪问题。The problem of autonomous driving and aided navigating has received increasing attention in recent years. A simple and feasible vision system for road intelligent vehicle is developed. The long sequence video images are gathered by a forward-looking video camera, which is installed on a moving vehicle on highway. It is the core algorithm to detect and to track the lane and moving object using Kalman filter.The experimental results show that this vision system is simple and robust against disturbance.

关 键 词：智能车辆 视觉辅助导航系统 计算机视觉 高速公路 智能计算机 

分 类 号：U492.22[交通运输工程—交通运输规划与管理] TP387[交通运输工程—道路与铁道工程]