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.
出处
《计算机系统应用》
2012年第11期94-97,169,共5页
Computer Systems & Applications
关键词
智能小车
避障
多传感器
模糊神经网络
intelligent vehicle
obstacle avoidance
multi-sensor
fuzzy neural networks
