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Received:April 10, 2012 Revised:June 01, 2012
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:
Author Name | Affiliation |
ZHANG Mi-Mi | School of Automation and Electronic Information, Sichuan University of Science and Engineering, Zigong 643000, China |
Author Name | Affiliation |
ZHANG Mi-Mi | School of Automation and Electronic Information, Sichuan University of Science and Engineering, Zigong 643000, China |
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
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