| 移动机器人多传感器信息融合技术综述 |
| |
| 引用本文： | 司现军,王志良. 移动机器人多传感器信息融合技术综述[J]. 机电工程, 2004, 21(2): 1-5 |
| |
| 作者姓名： | 司现军 王志良 |
| |
| 作者单位： | 北京科技大学,信息工程学院,北京,100083;北京科技大学,信息工程学院,北京,100083 |
| |
| 摘 要： | 阐述了当前在移动机器人领域常用的几种多传感器融合方法，介绍了移动机器人常用的传感器配置及所用的融合算法。对D-S证据理论、卡尔曼滤波、神经网络与模糊推理信息融合方法优缺点进行了对比分析。
|
| 关 键 词： | 移动机器人 多传感器信息融合 |
| 文章编号： | 1001-4551(2004)02-0001-05 |
| 修稿时间： | 2003-09-11 |
A Survey of Multi-sensor Data Fusion in Mobile Robot |
| |
| SI Xian-jun,WANG Zhi-liang. A Survey of Multi-sensor Data Fusion in Mobile Robot[J]. Mechanical & Electrical Engineering Magazine, 2004, 21(2): 1-5 |
| |
| Authors: | SI Xian-jun WANG Zhi-liang |
| |
| Abstract: | In the paper, based on theory and practice, several methods of multi-sensor data fusion which were used usually in the field of mobile robots at present are discussed. The arrangement and fusion algorithm of sensor used generally in mobile robots is introduced. And the virtue and default of some data fusion methods such as D-S evidence theory, kalman filter and neural network and fuzzy reasoning is contrasted and analyzed. |
| |
| Keywords: | mobile robot multi-sensor data fusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
