| 基于多传感器信息融合的智能小车避障 |
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| 引用本文： | 张咪咪.基于多传感器信息融合的智能小车避障[J].计算机系统应用,2012,21(11):94-97,169. |
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| 作者姓名： | 张咪咪 |
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| 作者单位： | 四川理工学院自动化与电子信息学院,自贡643000 |
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| 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．
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| 关 键 词： | 智能小车 避障 多传感器 模糊神经网络 |
| 收稿时间： | 2012/4/10 0:00:00 |
| 修稿时间： | 6/1/2012 12:00:00 AM |
Obstacle Avoidance of Intelligent Vehicle Based on Multi-sensor Information Fusion |
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| ZHANG Mi-Mi.Obstacle Avoidance of Intelligent Vehicle Based on Multi-sensor Information Fusion[J].Computer Systems& Applications,2012,21(11):94-97,169. |
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| Authors: | ZHANG Mi-Mi |
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| Affiliation: | ZHANG Mi-Mi (School of Automation and Electronic Information, Sichuan University of Science and Engineering, Zigong 643000, China) |
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| Abstract: | 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. |
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| Keywords: | intelligent vehicle obstacle avoidance multi-sensor fuzzy neural networks |
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