基于多传感器信息融合的智能小车避障  

Obstacle Avoidance of Intelligent Vehicle Based on Multi-sensor Information Fusion

作　　者：张咪咪[1] 

机构地区：[1]四川理工学院自动化与电子信息学院,自贡643000

出　　处：《计算机系统应用》2012年第11期94-97,169,共5页Computer Systems & Applications

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.Aimed at the problem of obstacle avoidance of intelligent vehicle in uncertain environment, several ultrasonic sensors and infi＇ared 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.

关 键 词：智能小车 避障 多传感器 模糊神经网络 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]