###
DOI:
计算机系统应用英文版:2012,21(11):94-97,169
本文二维码信息
码上扫一扫!
基于多传感器信息融合的智能小车避障
(四川理工学院 自动化与电子信息学院, 自贡 643000)
Obstacle Avoidance of Intelligent Vehicle Based on Multi-sensor Information Fusion
(School of Automation and Electronic Information, Sichuan University of Science and Engineering, Zigong 643000, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1356次   下载 3781
Received:April 10, 2012    Revised:June 01, 2012
中文摘要: 针对智能小车在不确定坏境下自主避障的情况, 采用超声波传感器和红外传感器相结合来感知外界环境信息, 将传感器采集到的各种数据利用T-S 模糊神经网络进行融合. 通过实验仿真表明: 此方法能够使智能小车对障碍物灵活避障.
Abstract:Aimed at the problem of obstacle avoidance of intelligent vehicle in uncertain environment, several ultrasonic sensors and infrared sensors are used for unifying the sensation of environmental information,and a novel approach of multi-sensor information fusion based on neural networks and fuzzy logic, i.e. T-S fuzzy neural networks method is presented. The simulation experiment indicates that the method which is used in avoiding the obstacle is flexible.
文章编号:     中图分类号:    文献标志码:
基金项目:
引用文本:
张咪咪.基于多传感器信息融合的智能小车避障.计算机系统应用,2012,21(11):94-97,169
ZHANG Mi-Mi.Obstacle Avoidance of Intelligent Vehicle Based on Multi-sensor Information Fusion.COMPUTER SYSTEMS APPLICATIONS,2012,21(11):94-97,169